problem_2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "humanitarian-clinic",
   "metadata": {},
   "source": [
    "# Time Series Forecasting Model using Machine Learning ⏱\n",
    "The purpose of this notebook is to create a Time_series Forecast Model which could predict the Pull/Call for the given dataset.\n",
    "\n",
    "\n",
    "\n",
    "Since we already have a dataset, we'll approach the problem with the following machine learning modelling framework.\n",
    "More specifically, we'll look at the following topics.\n",
    "\n",
    "* **Exploratory data analysis (EDA)** - the process of going through a dataset and finding out more about it.\n",
    "* **Model training** - create model(s) to learn to predict a target variable based on other variables.\n",
    "* **Model evaluation** - evaluating a models predictions using problem-specific evaluation metrics. \n",
    "* **Cross-validation** - if we do build a good model, can we be sure it will work on unseen data?\n",
    "* **Predicting the Test Data** - We now finally, predict the target using out trained model and the test data.\n",
    "* **Plotting the Aquired Values** - We can visually validate the predicted values by seeing the trends on the plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quarterly-locking",
   "metadata": {},
   "source": [
    "## 1. Importing required packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "proof-announcement",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Regular EDA and plotting libraries\n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from yellowbrick.regressor import PredictionError\n",
    "import datetime\n",
    "from math import *\n",
    "\n",
    "#To get rid of warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# We want our plots to appear in the notebook\n",
    "%matplotlib inline\n",
    "\n",
    "## Models\n",
    "from statsmodels.tsa.vector_ar.var_model import VAR\n",
    "\n",
    "## Model evaluators\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "particular-track",
   "metadata": {},
   "source": [
    "## 2. Data Exploration\n",
    "\n",
    "Data can be found in `Data/` Folder. \n",
    "The ones we are going to use:\n",
    "* `Test_dataset - Put-Call_TS.csv`\n",
    "\n",
    "\n",
    "Once we have imported our data, we are going to explore and get to know about the different Attributes and their patterns with the data.\n",
    "\n",
    "Data Exploration is one of most important tasks in Machine Learning.\n",
    "\n",
    "We edited the given raw .xlsx file as it wasn't oraganized properly for `pandas` to read it.\n",
    "\n",
    "Because of this issue the imported data would have `Object` as dtype instead `int64`.\n",
    "\n",
    "**Note :** We havent manuplated data outside the notebook. You can cross verify with the .csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "adopted-protein",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the Data\n",
    "data = pd.read_csv(\"data/Test_dataset - Put-Call_TS.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "collectible-bloom",
   "metadata": {},
   "source": [
    "### 2.1 Minor Changes to the Index of the Data\n",
    "There is a seperate column for `Stock Data` which is set as default index and the column is dropped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "photographic-retro",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>10-Aug</th>\n",
       "      <th>11-Aug</th>\n",
       "      <th>12-Aug</th>\n",
       "      <th>13-Aug</th>\n",
       "      <th>14-Aug</th>\n",
       "      <th>15-Aug</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stock Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC3235</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.660</td>\n",
       "      <td>0.77240</td>\n",
       "      <td>0.983224</td>\n",
       "      <td>0.901211</td>\n",
       "      <td>0.898368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3236</th>\n",
       "      <td>0.86</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.85448</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>1.029258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3237</th>\n",
       "      <td>0.93</td>\n",
       "      <td>0.816</td>\n",
       "      <td>0.95024</td>\n",
       "      <td>1.207302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.181962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3238</th>\n",
       "      <td>1.09</td>\n",
       "      <td>1.008</td>\n",
       "      <td>1.16912</td>\n",
       "      <td>1.483091</td>\n",
       "      <td>1.461062</td>\n",
       "      <td>1.531000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3239</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.104</td>\n",
       "      <td>1.27856</td>\n",
       "      <td>1.620986</td>\n",
       "      <td>1.615504</td>\n",
       "      <td>1.705519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2734</th>\n",
       "      <td>0.86</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.85448</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>1.029258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2735</th>\n",
       "      <td>0.64</td>\n",
       "      <td>0.468</td>\n",
       "      <td>0.55352</td>\n",
       "      <td>0.707435</td>\n",
       "      <td>0.592327</td>\n",
       "      <td>0.549330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2736</th>\n",
       "      <td>0.67</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.59456</td>\n",
       "      <td>0.759146</td>\n",
       "      <td>0.650243</td>\n",
       "      <td>0.614775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2737</th>\n",
       "      <td>0.79</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.75872</td>\n",
       "      <td>0.965987</td>\n",
       "      <td>0.881906</td>\n",
       "      <td>0.876553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2738</th>\n",
       "      <td>0.74</td>\n",
       "      <td>0.588</td>\n",
       "      <td>0.69032</td>\n",
       "      <td>0.879803</td>\n",
       "      <td>0.785380</td>\n",
       "      <td>0.767479</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3331 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             10-Aug  11-Aug   12-Aug    13-Aug    14-Aug    15-Aug\n",
       "Stock Index                                                       \n",
       "AC3235         0.80   0.660  0.77240  0.983224  0.901211  0.898368\n",
       "AC3236         0.86   0.732  0.85448  1.086645  1.017042  1.029258\n",
       "AC3237         0.93   0.816  0.95024  1.207302       NaN  1.181962\n",
       "AC3238         1.09   1.008  1.16912  1.483091  1.461062  1.531000\n",
       "AC3239          NaN   1.104  1.27856  1.620986  1.615504  1.705519\n",
       "...             ...     ...      ...       ...       ...       ...\n",
       "AD2734         0.86   0.732  0.85448  1.086645  1.017042  1.029258\n",
       "AD2735         0.64   0.468  0.55352  0.707435  0.592327  0.549330\n",
       "AD2736         0.67   0.504  0.59456  0.759146  0.650243  0.614775\n",
       "AD2737         0.79   0.648  0.75872  0.965987  0.881906  0.876553\n",
       "AD2738         0.74   0.588  0.69032  0.879803  0.785380  0.767479\n",
       "\n",
       "[3331 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.index = data[\"Stock Index\"] #Stock Index Column is set as default Index\n",
    "\n",
    "data.drop('Stock Index',inplace=True, axis=1) \n",
    "# As this column is set as default index, we no lomger require this column\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cross-semiconductor",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 3331 entries, AC3235 to AD2738\n",
      "Data columns (total 6 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   10-Aug  2902 non-null   float64\n",
      " 1   11-Aug  3329 non-null   float64\n",
      " 2   12-Aug  3274 non-null   float64\n",
      " 3   13-Aug  3317 non-null   float64\n",
      " 4   14-Aug  3226 non-null   float64\n",
      " 5   15-Aug  3092 non-null   float64\n",
      "dtypes: float64(6)\n",
      "memory usage: 182.2+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info() #Gives Insight about different Attributes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "unnecessary-valentine",
   "metadata": {},
   "source": [
    "### 2.2 Filling Missing Values\n",
    "Here we are using `pd.interpolate()` because that is optimal way of filling the missing values in a Time-Series DataSet. We could also fill with the `mean()` but in our case `pd.interpolate()` would work the best as the Columns and Rows are linearly depended too.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "arranged-smith",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10-Aug    429\n",
       "11-Aug      2\n",
       "12-Aug     57\n",
       "13-Aug     14\n",
       "14-Aug    105\n",
       "15-Aug    239\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum() # Returns count of missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "hybrid-cowboy",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.interpolate() # To fill Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "productive-mailman",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10-Aug    0\n",
       "11-Aug    0\n",
       "12-Aug    0\n",
       "13-Aug    0\n",
       "14-Aug    0\n",
       "15-Aug    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum() # All the missing are Handled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "metric-translator",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stock Index</th>\n",
       "      <th>AC3235</th>\n",
       "      <th>AC3236</th>\n",
       "      <th>AC3237</th>\n",
       "      <th>AC3238</th>\n",
       "      <th>AC3239</th>\n",
       "      <th>AC3240</th>\n",
       "      <th>AC3241</th>\n",
       "      <th>AC3242</th>\n",
       "      <th>AC3243</th>\n",
       "      <th>AC3244</th>\n",
       "      <th>...</th>\n",
       "      <th>AD2729</th>\n",
       "      <th>AD2730</th>\n",
       "      <th>AD2731</th>\n",
       "      <th>AD2732</th>\n",
       "      <th>AD2733</th>\n",
       "      <th>AD2734</th>\n",
       "      <th>AD2735</th>\n",
       "      <th>AD2736</th>\n",
       "      <th>AD2737</th>\n",
       "      <th>AD2738</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10-Aug</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.930000</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>1.136667</td>\n",
       "      <td>1.183333</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.670000</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.740000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11-Aug</th>\n",
       "      <td>0.660000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.816000</td>\n",
       "      <td>1.008000</td>\n",
       "      <td>1.104000</td>\n",
       "      <td>1.152000</td>\n",
       "      <td>1.176000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.984000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.888000</td>\n",
       "      <td>0.912000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.468000</td>\n",
       "      <td>0.504000</td>\n",
       "      <td>0.648000</td>\n",
       "      <td>0.588000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12-Aug</th>\n",
       "      <td>0.772400</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.950240</td>\n",
       "      <td>1.169120</td>\n",
       "      <td>1.278560</td>\n",
       "      <td>1.333280</td>\n",
       "      <td>1.360640</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.066520</td>\n",
       "      <td>...</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.498800</td>\n",
       "      <td>0.704000</td>\n",
       "      <td>1.032320</td>\n",
       "      <td>1.059680</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.553520</td>\n",
       "      <td>0.594560</td>\n",
       "      <td>0.758720</td>\n",
       "      <td>0.690320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13-Aug</th>\n",
       "      <td>0.983224</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>1.207302</td>\n",
       "      <td>1.483091</td>\n",
       "      <td>1.620986</td>\n",
       "      <td>1.689933</td>\n",
       "      <td>1.724406</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.448618</td>\n",
       "      <td>...</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.638488</td>\n",
       "      <td>0.897040</td>\n",
       "      <td>1.310723</td>\n",
       "      <td>1.345197</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.707435</td>\n",
       "      <td>0.759146</td>\n",
       "      <td>0.965987</td>\n",
       "      <td>0.879803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14-Aug</th>\n",
       "      <td>0.901211</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>1.239052</td>\n",
       "      <td>1.461062</td>\n",
       "      <td>1.615504</td>\n",
       "      <td>1.692725</td>\n",
       "      <td>1.731335</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.316273</td>\n",
       "      <td>...</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.515107</td>\n",
       "      <td>0.804685</td>\n",
       "      <td>1.268010</td>\n",
       "      <td>1.306620</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.592327</td>\n",
       "      <td>0.650243</td>\n",
       "      <td>0.881906</td>\n",
       "      <td>0.785380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15-Aug</th>\n",
       "      <td>0.898368</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>1.181962</td>\n",
       "      <td>1.531000</td>\n",
       "      <td>1.705519</td>\n",
       "      <td>1.792779</td>\n",
       "      <td>1.836409</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.487370</td>\n",
       "      <td>...</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.462070</td>\n",
       "      <td>0.789294</td>\n",
       "      <td>1.312851</td>\n",
       "      <td>1.356481</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.549330</td>\n",
       "      <td>0.614775</td>\n",
       "      <td>0.876553</td>\n",
       "      <td>0.767479</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 3331 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Stock Index    AC3235    AC3236    AC3237    AC3238    AC3239    AC3240  \\\n",
       "10-Aug       0.800000  0.860000  0.930000  1.090000  1.136667  1.183333   \n",
       "11-Aug       0.660000  0.732000  0.816000  1.008000  1.104000  1.152000   \n",
       "12-Aug       0.772400  0.854480  0.950240  1.169120  1.278560  1.333280   \n",
       "13-Aug       0.983224  1.086645  1.207302  1.483091  1.620986  1.689933   \n",
       "14-Aug       0.901211  1.017042  1.239052  1.461062  1.615504  1.692725   \n",
       "15-Aug       0.898368  1.029258  1.181962  1.531000  1.705519  1.792779   \n",
       "\n",
       "Stock Index    AC3241    AC3242    AC3243    AC3244  ...    AD2729    AD2730  \\\n",
       "10-Aug       1.230000  1.000000  1.000000  1.070000  ...  0.860000  0.600000   \n",
       "11-Aug       1.176000  0.900000  0.900000  0.984000  ...  0.732000  0.420000   \n",
       "12-Aug       1.360640  1.046000  1.046000  1.066520  ...  0.854480  0.498800   \n",
       "13-Aug       1.724406  1.327960  1.327960  1.448618  ...  1.086645  0.638488   \n",
       "14-Aug       1.731335  1.287315  1.287315  1.316273  ...  1.017042  0.515107   \n",
       "15-Aug       1.836409  1.334666  1.334666  1.487370  ...  1.029258  0.462070   \n",
       "\n",
       "Stock Index    AD2731    AD2732    AD2733    AD2734    AD2735    AD2736  \\\n",
       "10-Aug       0.750000  0.990000  1.010000  0.860000  0.640000  0.670000   \n",
       "11-Aug       0.600000  0.888000  0.912000  0.732000  0.468000  0.504000   \n",
       "12-Aug       0.704000  1.032320  1.059680  0.854480  0.553520  0.594560   \n",
       "13-Aug       0.897040  1.310723  1.345197  1.086645  0.707435  0.759146   \n",
       "14-Aug       0.804685  1.268010  1.306620  1.017042  0.592327  0.650243   \n",
       "15-Aug       0.789294  1.312851  1.356481  1.029258  0.549330  0.614775   \n",
       "\n",
       "Stock Index    AD2737    AD2738  \n",
       "10-Aug       0.790000  0.740000  \n",
       "11-Aug       0.648000  0.588000  \n",
       "12-Aug       0.758720  0.690320  \n",
       "13-Aug       0.965987  0.879803  \n",
       "14-Aug       0.881906  0.785380  \n",
       "15-Aug       0.876553  0.767479  \n",
       "\n",
       "[6 rows x 3331 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.T # Transposing the Data \n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abstract-state",
   "metadata": {},
   "source": [
    "### 2.3 Parsing Indexes in DateTime Format\n",
    "As this is Time-Series Problem its best to have `DateTime Object` as our indexes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "stone-section",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stock Index</th>\n",
       "      <th>AC3235</th>\n",
       "      <th>AC3236</th>\n",
       "      <th>AC3237</th>\n",
       "      <th>AC3238</th>\n",
       "      <th>AC3239</th>\n",
       "      <th>AC3240</th>\n",
       "      <th>AC3241</th>\n",
       "      <th>AC3242</th>\n",
       "      <th>AC3243</th>\n",
       "      <th>AC3244</th>\n",
       "      <th>...</th>\n",
       "      <th>AD2729</th>\n",
       "      <th>AD2730</th>\n",
       "      <th>AD2731</th>\n",
       "      <th>AD2732</th>\n",
       "      <th>AD2733</th>\n",
       "      <th>AD2734</th>\n",
       "      <th>AD2735</th>\n",
       "      <th>AD2736</th>\n",
       "      <th>AD2737</th>\n",
       "      <th>AD2738</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-10</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.930000</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>1.136667</td>\n",
       "      <td>1.183333</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.670000</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.740000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11</th>\n",
       "      <td>0.660000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.816000</td>\n",
       "      <td>1.008000</td>\n",
       "      <td>1.104000</td>\n",
       "      <td>1.152000</td>\n",
       "      <td>1.176000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.984000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.888000</td>\n",
       "      <td>0.912000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.468000</td>\n",
       "      <td>0.504000</td>\n",
       "      <td>0.648000</td>\n",
       "      <td>0.588000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-12</th>\n",
       "      <td>0.772400</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.950240</td>\n",
       "      <td>1.169120</td>\n",
       "      <td>1.278560</td>\n",
       "      <td>1.333280</td>\n",
       "      <td>1.360640</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.066520</td>\n",
       "      <td>...</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.498800</td>\n",
       "      <td>0.704000</td>\n",
       "      <td>1.032320</td>\n",
       "      <td>1.059680</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.553520</td>\n",
       "      <td>0.594560</td>\n",
       "      <td>0.758720</td>\n",
       "      <td>0.690320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-13</th>\n",
       "      <td>0.983224</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>1.207302</td>\n",
       "      <td>1.483091</td>\n",
       "      <td>1.620986</td>\n",
       "      <td>1.689933</td>\n",
       "      <td>1.724406</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.448618</td>\n",
       "      <td>...</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.638488</td>\n",
       "      <td>0.897040</td>\n",
       "      <td>1.310723</td>\n",
       "      <td>1.345197</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.707435</td>\n",
       "      <td>0.759146</td>\n",
       "      <td>0.965987</td>\n",
       "      <td>0.879803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-14</th>\n",
       "      <td>0.901211</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>1.239052</td>\n",
       "      <td>1.461062</td>\n",
       "      <td>1.615504</td>\n",
       "      <td>1.692725</td>\n",
       "      <td>1.731335</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.316273</td>\n",
       "      <td>...</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.515107</td>\n",
       "      <td>0.804685</td>\n",
       "      <td>1.268010</td>\n",
       "      <td>1.306620</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.592327</td>\n",
       "      <td>0.650243</td>\n",
       "      <td>0.881906</td>\n",
       "      <td>0.785380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-15</th>\n",
       "      <td>0.898368</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>1.181962</td>\n",
       "      <td>1.531000</td>\n",
       "      <td>1.705519</td>\n",
       "      <td>1.792779</td>\n",
       "      <td>1.836409</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.487370</td>\n",
       "      <td>...</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.462070</td>\n",
       "      <td>0.789294</td>\n",
       "      <td>1.312851</td>\n",
       "      <td>1.356481</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.549330</td>\n",
       "      <td>0.614775</td>\n",
       "      <td>0.876553</td>\n",
       "      <td>0.767479</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 3331 columns</p>\n",
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      ],
      "text/plain": [
       "Stock Index    AC3235    AC3236    AC3237    AC3238    AC3239    AC3240  \\\n",
       "2020-08-10   0.800000  0.860000  0.930000  1.090000  1.136667  1.183333   \n",
       "2020-08-11   0.660000  0.732000  0.816000  1.008000  1.104000  1.152000   \n",
       "2020-08-12   0.772400  0.854480  0.950240  1.169120  1.278560  1.333280   \n",
       "2020-08-13   0.983224  1.086645  1.207302  1.483091  1.620986  1.689933   \n",
       "2020-08-14   0.901211  1.017042  1.239052  1.461062  1.615504  1.692725   \n",
       "2020-08-15   0.898368  1.029258  1.181962  1.531000  1.705519  1.792779   \n",
       "\n",
       "Stock Index    AC3241    AC3242    AC3243    AC3244  ...    AD2729    AD2730  \\\n",
       "2020-08-10   1.230000  1.000000  1.000000  1.070000  ...  0.860000  0.600000   \n",
       "2020-08-11   1.176000  0.900000  0.900000  0.984000  ...  0.732000  0.420000   \n",
       "2020-08-12   1.360640  1.046000  1.046000  1.066520  ...  0.854480  0.498800   \n",
       "2020-08-13   1.724406  1.327960  1.327960  1.448618  ...  1.086645  0.638488   \n",
       "2020-08-14   1.731335  1.287315  1.287315  1.316273  ...  1.017042  0.515107   \n",
       "2020-08-15   1.836409  1.334666  1.334666  1.487370  ...  1.029258  0.462070   \n",
       "\n",
       "Stock Index    AD2731    AD2732    AD2733    AD2734    AD2735    AD2736  \\\n",
       "2020-08-10   0.750000  0.990000  1.010000  0.860000  0.640000  0.670000   \n",
       "2020-08-11   0.600000  0.888000  0.912000  0.732000  0.468000  0.504000   \n",
       "2020-08-12   0.704000  1.032320  1.059680  0.854480  0.553520  0.594560   \n",
       "2020-08-13   0.897040  1.310723  1.345197  1.086645  0.707435  0.759146   \n",
       "2020-08-14   0.804685  1.268010  1.306620  1.017042  0.592327  0.650243   \n",
       "2020-08-15   0.789294  1.312851  1.356481  1.029258  0.549330  0.614775   \n",
       "\n",
       "Stock Index    AD2737    AD2738  \n",
       "2020-08-10   0.790000  0.740000  \n",
       "2020-08-11   0.648000  0.588000  \n",
       "2020-08-12   0.758720  0.690320  \n",
       "2020-08-13   0.965987  0.879803  \n",
       "2020-08-14   0.881906  0.785380  \n",
       "2020-08-15   0.876553  0.767479  \n",
       "\n",
       "[6 rows x 3331 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.index=pd.date_range(\"8/10/2020\", freq=\"D\", periods=6)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "independent-graphics",
   "metadata": {},
   "source": [
    "### 2.4 Splitting the Data\n",
    "The Data should be splitted into **train** and **test** .\n",
    "\n",
    "* **Train** Data is used to train the model.\n",
    "\n",
    "* **Test** Data is used to evaluate the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "martial-avenue",
   "metadata": {},
   "outputs": [],
   "source": [
    "train = data[:int(0.9*(len(data)))]\n",
    "valid = data[int(0.9*(len(data))):]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "immediate-expert",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stock Index</th>\n",
       "      <th>AC3235</th>\n",
       "      <th>AC3236</th>\n",
       "      <th>AC3237</th>\n",
       "      <th>AC3238</th>\n",
       "      <th>AC3239</th>\n",
       "      <th>AC3240</th>\n",
       "      <th>AC3241</th>\n",
       "      <th>AC3242</th>\n",
       "      <th>AC3243</th>\n",
       "      <th>AC3244</th>\n",
       "      <th>...</th>\n",
       "      <th>AD2729</th>\n",
       "      <th>AD2730</th>\n",
       "      <th>AD2731</th>\n",
       "      <th>AD2732</th>\n",
       "      <th>AD2733</th>\n",
       "      <th>AD2734</th>\n",
       "      <th>AD2735</th>\n",
       "      <th>AD2736</th>\n",
       "      <th>AD2737</th>\n",
       "      <th>AD2738</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-10</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.930000</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>1.136667</td>\n",
       "      <td>1.183333</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.670000</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.740000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11</th>\n",
       "      <td>0.660000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.816000</td>\n",
       "      <td>1.008000</td>\n",
       "      <td>1.104000</td>\n",
       "      <td>1.152000</td>\n",
       "      <td>1.176000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.984000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.888000</td>\n",
       "      <td>0.912000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.468000</td>\n",
       "      <td>0.504000</td>\n",
       "      <td>0.648000</td>\n",
       "      <td>0.588000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-12</th>\n",
       "      <td>0.772400</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.950240</td>\n",
       "      <td>1.169120</td>\n",
       "      <td>1.278560</td>\n",
       "      <td>1.333280</td>\n",
       "      <td>1.360640</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.066520</td>\n",
       "      <td>...</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.498800</td>\n",
       "      <td>0.704000</td>\n",
       "      <td>1.032320</td>\n",
       "      <td>1.059680</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.553520</td>\n",
       "      <td>0.594560</td>\n",
       "      <td>0.758720</td>\n",
       "      <td>0.690320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-13</th>\n",
       "      <td>0.983224</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>1.207302</td>\n",
       "      <td>1.483091</td>\n",
       "      <td>1.620986</td>\n",
       "      <td>1.689933</td>\n",
       "      <td>1.724406</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.448618</td>\n",
       "      <td>...</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.638488</td>\n",
       "      <td>0.897040</td>\n",
       "      <td>1.310723</td>\n",
       "      <td>1.345197</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.707435</td>\n",
       "      <td>0.759146</td>\n",
       "      <td>0.965987</td>\n",
       "      <td>0.879803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-14</th>\n",
       "      <td>0.901211</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>1.239052</td>\n",
       "      <td>1.461062</td>\n",
       "      <td>1.615504</td>\n",
       "      <td>1.692725</td>\n",
       "      <td>1.731335</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.316273</td>\n",
       "      <td>...</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.515107</td>\n",
       "      <td>0.804685</td>\n",
       "      <td>1.268010</td>\n",
       "      <td>1.306620</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.592327</td>\n",
       "      <td>0.650243</td>\n",
       "      <td>0.881906</td>\n",
       "      <td>0.785380</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 3331 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Stock Index    AC3235    AC3236    AC3237    AC3238    AC3239    AC3240  \\\n",
       "2020-08-10   0.800000  0.860000  0.930000  1.090000  1.136667  1.183333   \n",
       "2020-08-11   0.660000  0.732000  0.816000  1.008000  1.104000  1.152000   \n",
       "2020-08-12   0.772400  0.854480  0.950240  1.169120  1.278560  1.333280   \n",
       "2020-08-13   0.983224  1.086645  1.207302  1.483091  1.620986  1.689933   \n",
       "2020-08-14   0.901211  1.017042  1.239052  1.461062  1.615504  1.692725   \n",
       "\n",
       "Stock Index    AC3241    AC3242    AC3243    AC3244  ...    AD2729    AD2730  \\\n",
       "2020-08-10   1.230000  1.000000  1.000000  1.070000  ...  0.860000  0.600000   \n",
       "2020-08-11   1.176000  0.900000  0.900000  0.984000  ...  0.732000  0.420000   \n",
       "2020-08-12   1.360640  1.046000  1.046000  1.066520  ...  0.854480  0.498800   \n",
       "2020-08-13   1.724406  1.327960  1.327960  1.448618  ...  1.086645  0.638488   \n",
       "2020-08-14   1.731335  1.287315  1.287315  1.316273  ...  1.017042  0.515107   \n",
       "\n",
       "Stock Index    AD2731    AD2732    AD2733    AD2734    AD2735    AD2736  \\\n",
       "2020-08-10   0.750000  0.990000  1.010000  0.860000  0.640000  0.670000   \n",
       "2020-08-11   0.600000  0.888000  0.912000  0.732000  0.468000  0.504000   \n",
       "2020-08-12   0.704000  1.032320  1.059680  0.854480  0.553520  0.594560   \n",
       "2020-08-13   0.897040  1.310723  1.345197  1.086645  0.707435  0.759146   \n",
       "2020-08-14   0.804685  1.268010  1.306620  1.017042  0.592327  0.650243   \n",
       "\n",
       "Stock Index    AD2737    AD2738  \n",
       "2020-08-10   0.790000  0.740000  \n",
       "2020-08-11   0.648000  0.588000  \n",
       "2020-08-12   0.758720  0.690320  \n",
       "2020-08-13   0.965987  0.879803  \n",
       "2020-08-14   0.881906  0.785380  \n",
       "\n",
       "[5 rows x 3331 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train #Data from Aug 10th to Aug 14th"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "interested-preservation",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stock Index</th>\n",
       "      <th>AC3235</th>\n",
       "      <th>AC3236</th>\n",
       "      <th>AC3237</th>\n",
       "      <th>AC3238</th>\n",
       "      <th>AC3239</th>\n",
       "      <th>AC3240</th>\n",
       "      <th>AC3241</th>\n",
       "      <th>AC3242</th>\n",
       "      <th>AC3243</th>\n",
       "      <th>AC3244</th>\n",
       "      <th>...</th>\n",
       "      <th>AD2729</th>\n",
       "      <th>AD2730</th>\n",
       "      <th>AD2731</th>\n",
       "      <th>AD2732</th>\n",
       "      <th>AD2733</th>\n",
       "      <th>AD2734</th>\n",
       "      <th>AD2735</th>\n",
       "      <th>AD2736</th>\n",
       "      <th>AD2737</th>\n",
       "      <th>AD2738</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-15</th>\n",
       "      <td>0.898368</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>1.181962</td>\n",
       "      <td>1.531</td>\n",
       "      <td>1.705519</td>\n",
       "      <td>1.792779</td>\n",
       "      <td>1.836409</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.48737</td>\n",
       "      <td>...</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.46207</td>\n",
       "      <td>0.789294</td>\n",
       "      <td>1.312851</td>\n",
       "      <td>1.356481</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.54933</td>\n",
       "      <td>0.614775</td>\n",
       "      <td>0.876553</td>\n",
       "      <td>0.767479</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 3331 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Stock Index    AC3235    AC3236    AC3237  AC3238    AC3239    AC3240  \\\n",
       "2020-08-15   0.898368  1.029258  1.181962   1.531  1.705519  1.792779   \n",
       "\n",
       "Stock Index    AC3241    AC3242    AC3243   AC3244  ...    AD2729   AD2730  \\\n",
       "2020-08-15   1.836409  1.334666  1.334666  1.48737  ...  1.029258  0.46207   \n",
       "\n",
       "Stock Index    AD2731    AD2732    AD2733    AD2734   AD2735    AD2736  \\\n",
       "2020-08-15   0.789294  1.312851  1.356481  1.029258  0.54933  0.614775   \n",
       "\n",
       "Stock Index    AD2737    AD2738  \n",
       "2020-08-15   0.876553  0.767479  \n",
       "\n",
       "[1 rows x 3331 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valid #Data on Aug 15th"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "featured-somalia",
   "metadata": {},
   "source": [
    "## 3. Training Our Model\n",
    "We've explored the data, now we'll try to use machine learning to predict our target variable\n",
    "\n",
    "Best Algorithm for this problem is : **VAR** : Vector Autoregression is most commonly used methods for multivariate time series forecasting.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "clean-albert",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.8       , 0.86      , 0.93      , ..., 0.67      , 0.79      ,\n",
       "        0.74      ],\n",
       "       [0.66      , 0.732     , 0.816     , ..., 0.504     , 0.648     ,\n",
       "        0.588     ],\n",
       "       [0.7724    , 0.85448   , 0.95024   , ..., 0.59456   , 0.75872   ,\n",
       "        0.69032   ],\n",
       "       [0.983224  , 1.0866448 , 1.2073024 , ..., 0.7591456 , 0.9659872 ,\n",
       "        0.8798032 ],\n",
       "       [0.90121088, 1.01704218, 1.23905216, ..., 0.65024307, 0.88190566,\n",
       "        0.78537958]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Training our model using Trained Data\n",
    "model = VAR(endog=train)\n",
    "model_fit = model.fit()\n",
    "model_fit.y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ready-realtor",
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = data.columns\n",
    "\n",
    "prediction = model_fit.forecast(model_fit.endog, steps=len(valid))\n",
    "pred = pd.DataFrame(index=range(0,len(prediction)),columns=[cols])\n",
    "\n",
    "# For loop to append all the predictions to a DataFrame : pred\n",
    "for j in range(0,3331):\n",
    "    for i in range(0, len(prediction)):\n",
    "       pred.iloc[i][j] = prediction[i][j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "funny-issue",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2020-08-15</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stock Index</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC3235</th>\n",
       "      <td>1.01983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3236</th>\n",
       "      <td>1.138537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3237</th>\n",
       "      <td>1.323383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3238</th>\n",
       "      <td>1.593582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC3239</th>\n",
       "      <td>1.751858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2734</th>\n",
       "      <td>1.138537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2735</th>\n",
       "      <td>0.703277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2736</th>\n",
       "      <td>0.76263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2737</th>\n",
       "      <td>1.000045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AD2738</th>\n",
       "      <td>0.901122</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3331 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            2020-08-15\n",
       "Stock Index           \n",
       "AC3235         1.01983\n",
       "AC3236        1.138537\n",
       "AC3237        1.323383\n",
       "AC3238        1.593582\n",
       "AC3239        1.751858\n",
       "...                ...\n",
       "AD2734        1.138537\n",
       "AD2735        0.703277\n",
       "AD2736         0.76263\n",
       "AD2737        1.000045\n",
       "AD2738        0.901122\n",
       "\n",
       "[3331 rows x 1 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred.index = [datetime.datetime(2020, 8, 15)]\n",
    "pred.T #These are the values predicted by the for August 15th"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "actual-trainer",
   "metadata": {},
   "source": [
    "## 4. Model Evaluation\n",
    "Our model has just predicted the values for August 15th. We will be comparing these value with valid values. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "tropical-scott",
   "metadata": {},
   "source": [
    "### Root Mean Square Error\n",
    "The **root-mean-square error (RMSE)** is a frequently used measure of the differences between values (sample or population values) predicted by a model or an estimator and the values observed.\n",
    "\n",
    "The below for loop will output RMSE Value for each Stock. And all the values are nearer to zero as they should be."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "breathing-philippines",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AC3235 is :  0.12146140913346959\n",
      "RMSE Value for AC3236 is :  0.109279409285993\n",
      "RMSE Value for AC3237 is :  0.14142062572883374\n",
      "RMSE Value for AC3238 is :  0.06258174503735603\n",
      "RMSE Value for AC3239 is :  0.04633907990739461\n",
      "RMSE Value for AC3240 is :  0.03821774634241115\n",
      "RMSE Value for AC3241 is :  0.034157080059919354\n",
      "RMSE Value for AC3242 is :  0.08085474430855588\n",
      "RMSE Value for AC3243 is :  0.08085474430855588\n",
      "RMSE Value for AC3244 is :  0.05532088785756417\n",
      "RMSE Value for AC3245 is :  0.07476374488482307\n",
      "RMSE Value for AC3246 is :  0.10521874300350809\n",
      "RMSE Value for AC3247 is :  0.13973440740467602\n",
      "RMSE Value for AC3248 is :  0.16343189356205157\n",
      "RMSE Value for AC3249 is :  0.16700768016669865\n",
      "RMSE Value for AC3250 is :  0.1580074066758801\n",
      "RMSE Value for AC3251 is :  0.1458254078284149\n",
      "RMSE Value for AC3252 is :  0.06258174503735603\n",
      "RMSE Value for AC3253 is :  0.1559770735346392\n",
      "RMSE Value for AC3254 is :  0.07679407802607474\n",
      "RMSE Value for AC3255 is :  0.05852107875485535\n",
      "RMSE Value for AC3256 is :  0.06055550334347104\n",
      "RMSE Value for AC3257 is :  0.08288390846483806\n",
      "RMSE Value for AC3258 is :  0.024036392455181188\n",
      "RMSE Value for AC3259 is :  0.030129612950347218\n",
      "RMSE Value for AC3260 is :  0.04028162935206381\n",
      "RMSE Value for AC3261 is :  0.13972715969790905\n",
      "RMSE Value for AC3262 is :  0.1275557986135919\n",
      "RMSE Value for AC3263 is :  0.1458254078284149\n",
      "RMSE Value for AC3264 is :  0.14785574096965393\n",
      "RMSE Value for AC3265 is :  0.021975081212446845\n",
      "RMSE Value for AC3266 is :  0.048369413048634735\n",
      "RMSE Value for AC3267 is :  0.06867274546108915\n",
      "RMSE Value for AC3268 is :  0.024005414353693855\n",
      "RMSE Value for AC3269 is :  0.14379507368716515\n",
      "RMSE Value for AC3270 is :  0.05243007933113142\n",
      "RMSE Value for AC3271 is :  0.048369413048634735\n",
      "RMSE Value for AC3272 is :  0.04227841262490628\n",
      "RMSE Value for AC3273 is :  0.1174007418509776\n",
      "RMSE Value for AC3274 is :  0.05852107875485535\n",
      "RMSE Value for AC3275 is :  0.13770407426342834\n",
      "RMSE Value for AC3276 is :  0.14988607411090227\n",
      "RMSE Value for AC3277 is :  0.05446041247237554\n",
      "RMSE Value for AC3278 is :  0.04633907990739461\n",
      "RMSE Value for AC3279 is :  0.109279409285993\n",
      "RMSE Value for AC3280 is :  0.1316130748396901\n",
      "RMSE Value for AC3281 is :  0.11130974242723912\n",
      "RMSE Value for AC3282 is :  0.06664241131984405\n",
      "RMSE Value for AC3283 is :  0.07273341174358094\n",
      "RMSE Value for AC3284 is :  0.048369413048634735\n",
      "RMSE Value for AC3285 is :  0.03212674691867812\n",
      "RMSE Value for AC3286 is :  0.7285600073390166\n",
      "RMSE Value for AC3287 is :  0.06867274546108915\n",
      "RMSE Value for AC3288 is :  0.12958274169844974\n",
      "RMSE Value for AC3289 is :  0.160037739817127\n",
      "RMSE Value for AC3290 is :  0.08491541059105168\n",
      "RMSE Value for AC3291 is :  0.04227841262490628\n",
      "RMSE Value for AC3292 is :  0.11943107499222239\n",
      "RMSE Value for AC3293 is :  0.10115807672101096\n",
      "RMSE Value for AC3294 is :  0.14379507368716515\n",
      "RMSE Value for AC3295 is :  0.07070307860233349\n",
      "RMSE Value for AC3296 is :  0.10318840986225974\n",
      "RMSE Value for AC3297 is :  0.05243007933113142\n",
      "RMSE Value for AC3298 is :  0.133643407980939\n",
      "RMSE Value for AC3299 is :  0.12349174227471205\n",
      "RMSE Value for AC3300 is :  0.12349174227471205\n",
      "RMSE Value for AC3301 is :  0.160037739817127\n",
      "RMSE Value for AC3302 is :  0.11943107499222239\n",
      "RMSE Value for AC3303 is :  0.12349174227471205\n",
      "RMSE Value for AC3304 is :  0.133643407980939\n",
      "RMSE Value for AC3305 is :  0.1316130748396901\n",
      "RMSE Value for AC3306 is :  0.09303674315602972\n",
      "RMSE Value for AC3307 is :  0.034157080059919354\n",
      "RMSE Value for AC3308 is :  0.46842462858534484\n",
      "RMSE Value for AC3309 is :  0.9026921771107628\n",
      "RMSE Value for AC3310 is :  0.14988607411090227\n",
      "RMSE Value for AC3311 is :  0.06664241131984405\n",
      "RMSE Value for AC3312 is :  0.07273341174358094\n",
      "RMSE Value for AC3313 is :  0.04633907990739461\n",
      "RMSE Value for AC3314 is :  0.133643407980939\n",
      "RMSE Value for AC3315 is :  0.10115807672101096\n",
      "RMSE Value for AC3316 is :  0.08085474430855588\n",
      "RMSE Value for AC3317 is :  0.10318840986225974\n",
      "RMSE Value for AC3318 is :  0.13770407426342834\n",
      "RMSE Value for AC3319 is :  0.06055141189610924\n",
      "RMSE Value for AC3320 is :  0.07273341174358094\n",
      "RMSE Value for AC3321 is :  0.08288507744980356\n",
      "RMSE Value for AC3322 is :  0.08694574373229758\n",
      "RMSE Value for AC3323 is :  0.45270975386107104\n",
      "RMSE Value for AC3324 is :  0.19650033641783016\n",
      "RMSE Value for AC3325 is :  0.12755240855720162\n",
      "RMSE Value for AC3326 is :  0.04227841262490628\n",
      "RMSE Value for AC3327 is :  0.1153704087097337\n",
      "RMSE Value for AC3328 is :  0.14785574096965393\n",
      "RMSE Value for AC3329 is :  0.1580074066758801\n",
      "RMSE Value for AC3330 is :  0.024005414353693855\n",
      "RMSE Value for AC3331 is :  0.09912774357977261\n",
      "RMSE Value for AC3332 is :  0.08085474430855588\n",
      "RMSE Value for AC3333 is :  0.07679407802607474\n",
      "RMSE Value for AC3334 is :  0.05243007933113142\n",
      "RMSE Value for AC3335 is :  0.10521874300350809\n",
      "RMSE Value for AC3336 is :  0.050399746189887074\n",
      "RMSE Value for AC3337 is :  0.08288507744980356\n",
      "RMSE Value for AC3338 is :  0.1174007418509776\n",
      "RMSE Value for AC3339 is :  0.09506707729727637\n",
      "RMSE Value for AC3340 is :  0.028066080636178325\n",
      "RMSE Value for AC3341 is :  0.1153704087097337\n",
      "RMSE Value for AC3342 is :  0.1417647405459238\n",
      "RMSE Value for AC3343 is :  0.133643407980939\n",
      "RMSE Value for AC3344 is :  0.1174007418509776\n",
      "RMSE Value for AC3345 is :  0.04024807948365838\n",
      "RMSE Value for AC3346 is :  0.06055141189610924\n",
      "RMSE Value for AC3347 is :  0.04227841262490628\n",
      "RMSE Value for AC3348 is :  0.10521874300350809\n",
      "RMSE Value for AC3349 is :  0.07476374488482307\n",
      "RMSE Value for AC3350 is :  0.12755240855720162\n",
      "RMSE Value for AC3351 is :  0.09303674315602972\n",
      "RMSE Value for AC3352 is :  0.11130974242723912\n",
      "RMSE Value for AC3353 is :  0.15394674039339162\n",
      "RMSE Value for AC3354 is :  0.09912774357977261\n",
      "RMSE Value for AC3355 is :  0.08491541059105168\n",
      "RMSE Value for AC3356 is :  0.11130974242723912\n",
      "RMSE Value for AC3357 is :  0.04633907990739461\n",
      "RMSE Value for AC3358 is :  0.14379507368716515\n",
      "RMSE Value for AC3359 is :  0.07273341174358094\n",
      "RMSE Value for AC3360 is :  0.06258174503735603\n",
      "RMSE Value for AC3361 is :  0.03618741320116037\n",
      "RMSE Value for AC3362 is :  0.12958274169844974\n",
      "RMSE Value for AC3363 is :  0.08694574373229758\n",
      "RMSE Value for AC3364 is :  0.03009641377742933\n",
      "RMSE Value for AC3365 is :  0.11943107499222239\n",
      "RMSE Value for AC3366 is :  0.109279409285993\n",
      "RMSE Value for AC3367 is :  0.07679407802607474\n",
      "RMSE Value for AC3368 is :  0.109279409285993\n",
      "RMSE Value for AC3369 is :  0.15191640725214584\n",
      "RMSE Value for AC3370 is :  0.1458254078284149\n",
      "RMSE Value for AC3371 is :  0.1153704087097337\n",
      "RMSE Value for AC3372 is :  0.05852107875485535\n",
      "RMSE Value for AC3373 is :  0.1316130748396901\n",
      "RMSE Value for AC3374 is :  0.15394674039339162\n",
      "RMSE Value for AC3375 is :  0.048369413048634735\n",
      "RMSE Value for AC3376 is :  0.10318840986225974\n",
      "RMSE Value for AC3377 is :  0.050399746189887074\n",
      "RMSE Value for AC3378 is :  0.10724907614475243\n",
      "RMSE Value for AC3379 is :  0.05243007933113142\n",
      "RMSE Value for AC3380 is :  0.16206807295837017\n",
      "RMSE Value for AC3381 is :  0.026035747494939976\n",
      "RMSE Value for AC3382 is :  0.028066080636178325\n",
      "RMSE Value for AC3383 is :  0.03821774634241115\n",
      "RMSE Value for AC3384 is :  0.06055141189610924\n",
      "RMSE Value for AC3385 is :  0.160037739817127\n",
      "RMSE Value for AC3386 is :  0.08694574373229758\n",
      "RMSE Value for AC3387 is :  0.10115807672101096\n",
      "RMSE Value for AC3388 is :  0.1133400755684878\n",
      "RMSE Value for AC3389 is :  0.07679407802607474\n",
      "RMSE Value for AC3390 is :  0.13973440740467602\n",
      "RMSE Value for AC3391 is :  0.08694574373229758\n",
      "RMSE Value for AC3392 is :  0.05446041247237554\n",
      "RMSE Value for AC3393 is :  0.1559770735346392\n",
      "RMSE Value for AC3394 is :  0.09062972133228742\n",
      "RMSE Value for AC3395 is :  0.11130974242723912\n",
      "RMSE Value for AC3396 is :  0.06055141189610924\n",
      "RMSE Value for AC3397 is :  0.09912774357977261\n",
      "RMSE Value for AC3398 is :  0.050399746189887074\n",
      "RMSE Value for AC3399 is :  0.021975081212446845\n",
      "RMSE Value for AC3400 is :  0.04633907990739461\n",
      "RMSE Value for AC3401 is :  0.06867274546108915\n",
      "RMSE Value for AC3402 is :  0.07273341174358094\n",
      "RMSE Value for AC3403 is :  0.028066080636178325\n",
      "RMSE Value for AC3404 is :  0.10521874300350809\n",
      "RMSE Value for AC3405 is :  0.12146140913346959\n",
      "RMSE Value for AC3406 is :  0.07273341174358094\n",
      "RMSE Value for AC3407 is :  0.06664241131984405\n",
      "RMSE Value for AC3408 is :  0.13973440740467602\n",
      "RMSE Value for AC3409 is :  0.14988607411090227\n",
      "RMSE Value for AC3410 is :  0.15191640725214584\n",
      "RMSE Value for AC3411 is :  0.15191640725214584\n",
      "RMSE Value for AC3412 is :  0.1133400755684878\n",
      "RMSE Value for AC3413 is :  0.13973440740467602\n",
      "RMSE Value for AC3414 is :  0.1580074066758801\n",
      "RMSE Value for AC3415 is :  0.03821774634241115\n",
      "RMSE Value for AC3416 is :  0.08897607687354236\n",
      "RMSE Value for AC3417 is :  0.07882441116731154\n",
      "RMSE Value for AC3418 is :  0.15191640725214584\n",
      "RMSE Value for AC3419 is :  0.10724907614475243\n",
      "RMSE Value for AC3420 is :  0.1316130748396901\n",
      "RMSE Value for AC3421 is :  0.07679407802607474\n",
      "RMSE Value for AC3422 is :  0.03821774634241115\n",
      "RMSE Value for AC3423 is :  0.12755240855720162\n",
      "RMSE Value for AC3424 is :  0.04024807948365838\n",
      "RMSE Value for AC3425 is :  0.133643407980939\n",
      "RMSE Value for AC3426 is :  0.10521874300350809\n",
      "RMSE Value for AC3427 is :  0.06055141189610924\n",
      "RMSE Value for AC3428 is :  0.08694574373229758\n",
      "RMSE Value for AC3429 is :  0.08694574373229758\n",
      "RMSE Value for AC3430 is :  0.1458254078284149\n",
      "RMSE Value for AC3431 is :  0.12958274169844974\n",
      "RMSE Value for AC3432 is :  0.13973440740467602\n",
      "RMSE Value for AC3433 is :  0.04633907990739461\n",
      "RMSE Value for AC3434 is :  0.12958274169844974\n",
      "RMSE Value for AC3435 is :  0.09303674315602972\n",
      "RMSE Value for AC3436 is :  0.048369413048634735\n",
      "RMSE Value for AC3437 is :  0.05852107875485535\n",
      "RMSE Value for AC3438 is :  0.07476374488482307\n",
      "RMSE Value for AC3439 is :  0.09506707729727637\n",
      "RMSE Value for AC3440 is :  0.12146140913346959\n",
      "RMSE Value for AC3441 is :  0.021975081212446845\n",
      "RMSE Value for AC3442 is :  0.10318840986225974\n",
      "RMSE Value for AC3443 is :  0.007348741375082346\n",
      "RMSE Value for AC3444 is :  0.21978711792767314\n",
      "RMSE Value for AC3445 is :  0.03635713342018021\n",
      "RMSE Value for AC3446 is :  0.2993924599483071\n",
      "RMSE Value for AC3447 is :  0.30202320048406395\n",
      "RMSE Value for AC3448 is :  0.37320062460805725\n",
      "RMSE Value for AC3449 is :  0.22150252507382417\n",
      "RMSE Value for AC3450 is :  0.2812641609058322\n",
      "RMSE Value for AC3451 is :  0.27644562473127887\n",
      "RMSE Value for AC3452 is :  0.2509833056115538\n",
      "RMSE Value for AC3453 is :  0.3221607297355531\n",
      "RMSE Value for AC3454 is :  0.2700269370436359\n",
      "RMSE Value for AC3455 is :  0.2425553877149078\n",
      "RMSE Value for AC3456 is :  0.3891411280117437\n",
      "RMSE Value for AC3457 is :  0.2862612625101688\n",
      "RMSE Value for AC3458 is :  0.12347506194785751\n",
      "RMSE Value for AC3459 is :  0.21898704217113174\n",
      "RMSE Value for AC3460 is :  0.16608703892372279\n",
      "RMSE Value for AC3461 is :  0.17637506419525262\n",
      "RMSE Value for AC3462 is :  0.18589687991129789\n",
      "RMSE Value for AC3463 is :  0.40880626977058687\n",
      "RMSE Value for AC3464 is :  0.23897987119387187\n",
      "RMSE Value for AC3465 is :  0.14314020370669933\n",
      "RMSE Value for AC3466 is :  0.24459848312496912\n",
      "RMSE Value for AC3467 is :  0.12409657227461501\n",
      "RMSE Value for AC3468 is :  0.4105216779167383\n",
      "RMSE Value for AC3469 is :  0.240695279340022\n",
      "RMSE Value for AC3470 is :  0.23117346362398217\n",
      "RMSE Value for AC3471 is :  0.29625546571885275\n",
      "RMSE Value for AC3472 is :  0.18746758882872028\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AC3473 is :  0.2026080164758588\n",
      "RMSE Value for AC3474 is :  0.3780530269836706\n",
      "RMSE Value for AC3475 is :  0.28221335849649376\n",
      "RMSE Value for AC3476 is :  0.07257986630407509\n",
      "RMSE Value for AC3477 is :  0.2755008487460019\n",
      "RMSE Value for AC3478 is :  0.10395461941774387\n",
      "RMSE Value for AC3479 is :  0.17513204454174258\n",
      "RMSE Value for AC3480 is :  0.270971712028905\n",
      "RMSE Value for AC3481 is :  0.24974470756342426\n",
      "RMSE Value for AC3482 is :  0.5361698142055487\n",
      "RMSE Value for AC3483 is :  0.19370771108656903\n",
      "RMSE Value for AC3484 is :  0.1734166363955847\n",
      "RMSE Value for AC3485 is :  0.4089553926047076\n",
      "RMSE Value for AC3486 is :  0.09381129337494443\n",
      "RMSE Value for AC3487 is :  0.1556204472224061\n",
      "RMSE Value for AC3488 is :  0.19542311923272138\n",
      "RMSE Value for AC3489 is :  0.06072113211512198\n",
      "RMSE Value for AC3490 is :  0.21821640901024475\n",
      "RMSE Value for AC3491 is :  0.30250001058209686\n",
      "RMSE Value for AC3492 is :  0.009362394189472045\n",
      "RMSE Value for AC3493 is :  0.19713852737888082\n",
      "RMSE Value for AC3494 is :  0.09599908901374143\n",
      "RMSE Value for AC3495 is :  0.535697426712917\n",
      "RMSE Value for AC3496 is :  0.2548909320018904\n",
      "RMSE Value for AC3497 is :  0.36868033410175083\n",
      "RMSE Value for AC3498 is :  0.22040420464903687\n",
      "RMSE Value for AC3499 is :  0.4482856761223861\n",
      "RMSE Value for AC3500 is :  0.08116132964022804\n",
      "RMSE Value for AC3501 is :  0.5648843841877921\n",
      "RMSE Value for AC3502 is :  0.5060380807453927\n",
      "RMSE Value for AC3503 is :  0.5458407527557113\n",
      "RMSE Value for AC3504 is :  0.0430740657760571\n",
      "RMSE Value for AC3505 is :  0.23085019896546144\n",
      "RMSE Value for AC3506 is :  0.43095745283645737\n",
      "RMSE Value for AC3507 is :  0.03481586809842252\n",
      "RMSE Value for AC3508 is :  0.3502582119964205\n",
      "RMSE Value for AC3509 is :  0.3037430312356053\n",
      "RMSE Value for AC3510 is :  0.47918804174342067\n",
      "RMSE Value for AC3511 is :  0.06273920753490247\n",
      "RMSE Value for AC3512 is :  0.5711245064456562\n",
      "RMSE Value for AC3513 is :  0.4012981068689353\n",
      "RMSE Value for AC3514 is :  0.4411007788792515\n",
      "RMSE Value for AC3515 is :  0.07397643139709542\n",
      "RMSE Value for AC3516 is :  0.10144798172582825\n",
      "RMSE Value for AC3517 is :  0.6098332796365781\n",
      "RMSE Value for AC3518 is :  0.13955584197488125\n",
      "RMSE Value for AC3519 is :  0.34416721257268734\n",
      "RMSE Value for AC3520 is :  0.6305923192148138\n",
      "RMSE Value for AC3521 is :  0.3004613377774201\n",
      "RMSE Value for AC3522 is :  0.20462166929024894\n",
      "RMSE Value for AC3523 is :  0.014529216012831414\n",
      "RMSE Value for AC3524 is :  0.09803776281841414\n",
      "RMSE Value for AC3525 is :  0.6939633357689166\n",
      "RMSE Value for AC3526 is :  0.06788543197336727\n",
      "RMSE Value for AC3527 is :  0.5146151214761605\n",
      "RMSE Value for AC3528 is :  0.2091463834019478\n",
      "RMSE Value for AC3529 is :  0.43391588063612463\n",
      "RMSE Value for AC3530 is :  0.27642060374099553\n",
      "RMSE Value for AC3531 is :  0.020276353393150925\n",
      "RMSE Value for AC3532 is :  0.10940351112982949\n",
      "RMSE Value for AC3533 is :  0.038226087005840625\n",
      "RMSE Value for AC3534 is :  0.2999889492847836\n",
      "RMSE Value for AC3535 is :  0.45077171642941705\n",
      "RMSE Value for AC3536 is :  0.03966384786865018\n",
      "RMSE Value for AC3537 is :  0.08645667591280781\n",
      "RMSE Value for AC3538 is :  0.002948129107216868\n",
      "RMSE Value for AC3539 is :  0.10440640952548619\n",
      "RMSE Value for AC3540 is :  0.09008223241440616\n",
      "RMSE Value for AC3541 is :  0.048369413048634735\n",
      "RMSE Value for AC3542 is :  0.09303674315602972\n",
      "RMSE Value for AC3543 is :  0.12349174227471205\n",
      "RMSE Value for AC3544 is :  0.1458254078284149\n",
      "RMSE Value for AC3545 is :  0.1580074066758801\n",
      "RMSE Value for AC3546 is :  0.06055141189610924\n",
      "RMSE Value for AC3547 is :  0.1580074066758801\n",
      "RMSE Value for AC3548 is :  0.15191640725214584\n",
      "RMSE Value for AC3549 is :  0.133643407980939\n",
      "RMSE Value for AC3550 is :  0.050399746189887074\n",
      "RMSE Value for AC3551 is :  0.1133400755684878\n",
      "RMSE Value for AC3552 is :  0.026035747494939976\n",
      "RMSE Value for AC3553 is :  0.12552207541595428\n",
      "RMSE Value for AC3554 is :  0.08897607687354236\n",
      "RMSE Value for AC3555 is :  0.109279409285993\n",
      "RMSE Value for AC3556 is :  0.07679407802607474\n",
      "RMSE Value for AC3557 is :  0.08897607687354236\n",
      "RMSE Value for AC3558 is :  0.024005414353693855\n",
      "RMSE Value for AC3559 is :  0.048369413048634735\n",
      "RMSE Value for AC3560 is :  0.12755240855720162\n",
      "RMSE Value for AC3561 is :  0.10115807672101096\n",
      "RMSE Value for AC3562 is :  0.06867274546108915\n",
      "RMSE Value for AC3563 is :  0.10521874300350809\n",
      "RMSE Value for AC3564 is :  0.2286476377791089\n",
      "RMSE Value for AC3565 is :  0.43862365966186434\n",
      "RMSE Value for AC3566 is :  0.14552714042664383\n",
      "RMSE Value for AC3567 is :  0.32707849733196726\n",
      "RMSE Value for AC3568 is :  0.020692573356527966\n",
      "RMSE Value for AC3569 is :  0.25724740471971796\n",
      "RMSE Value for AC3570 is :  0.4517592433606764\n",
      "RMSE Value for AC3571 is :  0.048369413048634735\n",
      "RMSE Value for AC3572 is :  0.10115807672101096\n",
      "RMSE Value for AC3573 is :  0.04227841262490628\n",
      "RMSE Value for AC3574 is :  0.04024807948365838\n",
      "RMSE Value for AC3575 is :  0.03212674691867812\n",
      "RMSE Value for AC3576 is :  0.03821774634241115\n",
      "RMSE Value for AC3577 is :  0.028066080636178325\n",
      "RMSE Value for AC3578 is :  0.06664241131984405\n",
      "RMSE Value for AC3579 is :  0.09100641001478782\n",
      "RMSE Value for AC3580 is :  0.12755240855720162\n",
      "RMSE Value for AC3581 is :  0.1458254078284149\n",
      "RMSE Value for AC3582 is :  0.1316130748396901\n",
      "RMSE Value for AC3583 is :  0.08694574373229758\n",
      "RMSE Value for AC3584 is :  0.15394674039339162\n",
      "RMSE Value for AC3585 is :  0.07070307860233349\n",
      "RMSE Value for AC3586 is :  0.109279409285993\n",
      "RMSE Value for AC3587 is :  0.03618741320116037\n",
      "RMSE Value for AC3588 is :  0.07882441116731154\n",
      "RMSE Value for AC3589 is :  0.10521874300350809\n",
      "RMSE Value for AC3590 is :  0.09506707729727637\n",
      "RMSE Value for AC3591 is :  0.03618741320116037\n",
      "RMSE Value for AC3592 is :  0.14785574096965393\n",
      "RMSE Value for AC3593 is :  0.08288507744980356\n",
      "RMSE Value for AC3594 is :  0.06055141189610924\n",
      "RMSE Value for AC3595 is :  0.04024807948365838\n",
      "RMSE Value for AC3596 is :  0.04633907990739461\n",
      "RMSE Value for AC3597 is :  0.10521874300350809\n",
      "RMSE Value for AC3598 is :  0.15394674039339162\n",
      "RMSE Value for AC3599 is :  0.10724907614475243\n",
      "RMSE Value for AC3600 is :  0.04227841262490628\n",
      "RMSE Value for AC3601 is :  0.06461207817859838\n",
      "RMSE Value for AC3602 is :  0.08897607687354236\n",
      "RMSE Value for AC3603 is :  0.12146140913346959\n",
      "RMSE Value for AC3604 is :  0.048369413048634735\n",
      "RMSE Value for AC3605 is :  0.15191640725214584\n",
      "RMSE Value for AC3606 is :  0.08288507744980356\n",
      "RMSE Value for AC3607 is :  0.08694574373229758\n",
      "RMSE Value for AC3608 is :  0.048369413048634735\n",
      "RMSE Value for AC3609 is :  0.10521874300350809\n",
      "RMSE Value for AC3610 is :  0.10318840986225974\n",
      "RMSE Value for AC3611 is :  0.10318840986225974\n",
      "RMSE Value for AC3612 is :  0.0443087467661516\n",
      "RMSE Value for AC3613 is :  0.12958274169844974\n",
      "RMSE Value for AC3614 is :  0.09100641001478782\n",
      "RMSE Value for AC3615 is :  0.13770407426342834\n",
      "RMSE Value for AC3616 is :  0.034157080059919354\n",
      "RMSE Value for AC3617 is :  0.04227841262490628\n",
      "RMSE Value for AC3618 is :  0.15394674039339162\n",
      "RMSE Value for AC3619 is :  0.12958274169844974\n",
      "RMSE Value for AC3620 is :  0.08085474430855588\n",
      "RMSE Value for AC3621 is :  0.10521874300350809\n",
      "RMSE Value for AC3622 is :  0.10115807672101096\n",
      "RMSE Value for AC3623 is :  0.1559770735346392\n",
      "RMSE Value for AC3624 is :  0.06664241131984405\n",
      "RMSE Value for AC3625 is :  0.04024807948365838\n",
      "RMSE Value for AC3626 is :  0.04024807948365838\n",
      "RMSE Value for AC3627 is :  0.14785574096965393\n",
      "RMSE Value for AC3628 is :  0.09303674315602972\n",
      "RMSE Value for AC3629 is :  0.07882441116731154\n",
      "RMSE Value for AC3630 is :  0.1316130748396901\n",
      "RMSE Value for AC3631 is :  0.1417647405459238\n",
      "RMSE Value for AC3632 is :  0.15394674039339162\n",
      "RMSE Value for AC3633 is :  0.12552207541595428\n",
      "RMSE Value for AC3634 is :  0.034157080059919354\n",
      "RMSE Value for AC3635 is :  0.12146140913346959\n",
      "RMSE Value for AC3636 is :  0.1316130748396901\n",
      "RMSE Value for AC3637 is :  0.08694574373229758\n",
      "RMSE Value for AC3638 is :  0.15191640725214584\n",
      "RMSE Value for AC3639 is :  0.09709741043852471\n",
      "RMSE Value for AC3640 is :  0.1133400755684878\n",
      "RMSE Value for AC3641 is :  0.07273341174358094\n",
      "RMSE Value for AC3642 is :  0.09709741043852471\n",
      "RMSE Value for AC3643 is :  0.04633907990739461\n",
      "RMSE Value for AC3644 is :  0.09912774357977261\n",
      "RMSE Value for AC3645 is :  0.09506707729727637\n",
      "RMSE Value for AC3646 is :  0.16206807295837017\n",
      "RMSE Value for AC3647 is :  0.03821774634241115\n",
      "RMSE Value for AC3648 is :  0.10318840986225974\n",
      "RMSE Value for AC3649 is :  0.10318840986225974\n",
      "RMSE Value for AC3650 is :  0.12755240855720162\n",
      "RMSE Value for AC3651 is :  0.13567374112218322\n",
      "RMSE Value for AC3652 is :  0.08694574373229758\n",
      "RMSE Value for AC3653 is :  0.07070307860233349\n",
      "RMSE Value for AC3654 is :  0.07679407802607474\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AC3655 is :  0.1417647405459238\n",
      "RMSE Value for AC3656 is :  0.12755240855720162\n",
      "RMSE Value for AC3657 is :  0.07070307860233349\n",
      "RMSE Value for AC3658 is :  0.06461207817859838\n",
      "RMSE Value for AC3659 is :  0.04227841262490628\n",
      "RMSE Value for AC3660 is :  0.15191640725214584\n",
      "RMSE Value for AC3661 is :  0.10521874300350809\n",
      "RMSE Value for AC3662 is :  0.05243007933113142\n",
      "RMSE Value for AC3663 is :  0.09912774357977261\n",
      "RMSE Value for AC3664 is :  0.0443087467661516\n",
      "RMSE Value for AC3665 is :  0.08694574373229758\n",
      "RMSE Value for AC3666 is :  0.06867274546108915\n",
      "RMSE Value for AC3667 is :  0.14785574096965393\n",
      "RMSE Value for AC3668 is :  0.03009641377742933\n",
      "RMSE Value for AC3669 is :  0.1316130748396901\n",
      "RMSE Value for AC3670 is :  0.16206807295837017\n",
      "RMSE Value for AC3671 is :  0.09303674315602972\n",
      "RMSE Value for AC3672 is :  0.1559770735346392\n",
      "RMSE Value for AC3673 is :  0.14379507368716515\n",
      "RMSE Value for AC3674 is :  0.04227841262490628\n",
      "RMSE Value for AC3675 is :  0.024005414353693855\n",
      "RMSE Value for AC3676 is :  0.07476374488482307\n",
      "RMSE Value for AC3677 is :  0.1133400755684878\n",
      "RMSE Value for AC3678 is :  0.09506707729727637\n",
      "RMSE Value for AC3679 is :  0.15191640725214584\n",
      "RMSE Value for AC3680 is :  0.10318840986225974\n",
      "RMSE Value for AC3681 is :  0.08897607687354236\n",
      "RMSE Value for AC3682 is :  0.09303674315602972\n",
      "RMSE Value for AC3683 is :  0.08085474430855588\n",
      "RMSE Value for AC3684 is :  0.021975081212446845\n",
      "RMSE Value for AC3685 is :  0.133643407980939\n",
      "RMSE Value for AC3686 is :  0.09100641001478782\n",
      "RMSE Value for AC3687 is :  0.05243007933113142\n",
      "RMSE Value for AC3688 is :  0.10115807672101096\n",
      "RMSE Value for AC3689 is :  0.09709741043852471\n",
      "RMSE Value for AC3690 is :  0.08897607687354236\n",
      "RMSE Value for AC3691 is :  0.12146140913346959\n",
      "RMSE Value for AC3692 is :  0.13567374112218322\n",
      "RMSE Value for AC3693 is :  0.08491541059105168\n",
      "RMSE Value for AC3694 is :  0.05243007933113142\n",
      "RMSE Value for AC3695 is :  0.08897607687354236\n",
      "RMSE Value for AC3696 is :  0.09100641001478782\n",
      "RMSE Value for AC3697 is :  0.05243007933113142\n",
      "RMSE Value for AC3698 is :  0.1174007418509776\n",
      "RMSE Value for AC3699 is :  0.07070307860233349\n",
      "RMSE Value for AC3700 is :  0.06867274546108915\n",
      "RMSE Value for AC3701 is :  0.10115807672101096\n",
      "RMSE Value for AC3702 is :  0.10724907614475243\n",
      "RMSE Value for AC3703 is :  0.1417647405459238\n",
      "RMSE Value for AC3704 is :  0.09912774357977261\n",
      "RMSE Value for AC3705 is :  0.10318840986225974\n",
      "RMSE Value for AC3706 is :  0.1153704087097337\n",
      "RMSE Value for AC3707 is :  0.0443087467661516\n",
      "RMSE Value for AC3708 is :  0.05852107875485535\n",
      "RMSE Value for AC3709 is :  0.06258174503735603\n",
      "RMSE Value for AC3710 is :  0.06461207817859838\n",
      "RMSE Value for AC3711 is :  0.034157080059919354\n",
      "RMSE Value for AC3712 is :  0.1580074066758801\n",
      "RMSE Value for AC3713 is :  0.034157080059919354\n",
      "RMSE Value for AC3714 is :  0.16206807295837017\n",
      "RMSE Value for AC3715 is :  0.10724907614475243\n",
      "RMSE Value for AC3716 is :  0.048369413048634735\n",
      "RMSE Value for AC3717 is :  0.13770407426342834\n",
      "RMSE Value for AC3718 is :  0.07882441116731154\n",
      "RMSE Value for AC3719 is :  0.06258174503735603\n",
      "RMSE Value for AC3720 is :  0.12349174227471205\n",
      "RMSE Value for AC3721 is :  0.09100641001478782\n",
      "RMSE Value for AC3722 is :  0.09100641001478782\n",
      "RMSE Value for AC3723 is :  0.026035747494939976\n",
      "RMSE Value for AC3724 is :  0.13973440740467602\n",
      "RMSE Value for AC3725 is :  0.07882441116731154\n",
      "RMSE Value for AC3726 is :  0.14988607411090227\n",
      "RMSE Value for AC3727 is :  0.12958274169844974\n",
      "RMSE Value for AC3728 is :  0.1174007418509776\n",
      "RMSE Value for AC3729 is :  0.021975081212446845\n",
      "RMSE Value for AC3730 is :  0.07882441116731154\n",
      "RMSE Value for AC3731 is :  0.1174007418509776\n",
      "RMSE Value for AC3732 is :  0.06055141189610924\n",
      "RMSE Value for AC3733 is :  0.11943107499222239\n",
      "RMSE Value for AC3734 is :  0.12349174227471205\n",
      "RMSE Value for AC3735 is :  0.06258174503735603\n",
      "RMSE Value for AC3736 is :  0.12552207541595428\n",
      "RMSE Value for AC3737 is :  0.12958274169844974\n",
      "RMSE Value for AC3738 is :  0.15924822787987813\n",
      "RMSE Value for AC3739 is :  0.0956275111300755\n",
      "RMSE Value for AC3740 is :  0.190125077723591\n",
      "RMSE Value for AC3741 is :  0.03009641377742933\n",
      "RMSE Value for AC3742 is :  0.10724907614475243\n",
      "RMSE Value for AC3743 is :  0.15394674039339162\n",
      "RMSE Value for AC3744 is :  0.06664241131984405\n",
      "RMSE Value for AC3745 is :  0.15394674039339162\n",
      "RMSE Value for AC3746 is :  0.1133400755684878\n",
      "RMSE Value for AC3747 is :  0.03618741320116037\n",
      "RMSE Value for AC3748 is :  0.12146140913346959\n",
      "RMSE Value for AC3749 is :  0.06867274546108915\n",
      "RMSE Value for AC3750 is :  0.08694574373229758\n",
      "RMSE Value for AC3751 is :  0.14988607411090227\n",
      "RMSE Value for AC3752 is :  0.026035747494939976\n",
      "RMSE Value for AC3753 is :  0.10115807672101096\n",
      "RMSE Value for AC3754 is :  0.06664241131984405\n",
      "RMSE Value for AC3755 is :  0.050399746189887074\n",
      "RMSE Value for AC3756 is :  0.07273341174358094\n",
      "RMSE Value for AC3757 is :  0.12552207541595428\n",
      "RMSE Value for AC3758 is :  0.1580074066758801\n",
      "RMSE Value for AC3759 is :  0.12958274169844974\n",
      "RMSE Value for AC3760 is :  0.1458254078284149\n",
      "RMSE Value for AC3761 is :  0.16206807295837017\n",
      "RMSE Value for AC3762 is :  0.10318840986225974\n",
      "RMSE Value for AC3763 is :  0.10521874300350809\n",
      "RMSE Value for AC3764 is :  0.109279409285993\n",
      "RMSE Value for AC3765 is :  0.1133400755684878\n",
      "RMSE Value for AC3766 is :  0.028066080636178325\n",
      "RMSE Value for AC3767 is :  0.05852107875485535\n",
      "RMSE Value for AC3768 is :  0.160037739817127\n",
      "RMSE Value for AC3769 is :  0.07882441116731154\n",
      "RMSE Value for AC3770 is :  0.133643407980939\n",
      "RMSE Value for AC3771 is :  0.14785574096965393\n",
      "RMSE Value for AC3772 is :  0.021975081212446845\n",
      "RMSE Value for AC3773 is :  0.09100641001478782\n",
      "RMSE Value for AC3774 is :  0.11130974242723912\n",
      "RMSE Value for AC3775 is :  0.08897607687354236\n",
      "RMSE Value for AC3776 is :  0.03618741320116037\n",
      "RMSE Value for AC3777 is :  0.1153704087097337\n",
      "RMSE Value for AC3778 is :  0.14785574096965393\n",
      "RMSE Value for AC3779 is :  0.1559770735346392\n",
      "RMSE Value for AC3780 is :  0.12755240855720162\n",
      "RMSE Value for AC3781 is :  0.08694574373229758\n",
      "RMSE Value for AC3782 is :  0.11943107499222239\n",
      "RMSE Value for AC3783 is :  0.10724907614475243\n",
      "RMSE Value for AC3784 is :  0.1316130748396901\n",
      "RMSE Value for AC3785 is :  0.07882441116731154\n",
      "RMSE Value for AC3786 is :  0.08897607687354236\n",
      "RMSE Value for AC3787 is :  0.09303674315602972\n",
      "RMSE Value for AC3788 is :  0.03009641377742933\n",
      "RMSE Value for AC3789 is :  0.0443087467661516\n",
      "RMSE Value for AC3790 is :  0.03009641377742933\n",
      "RMSE Value for AC3791 is :  0.12958274169844974\n",
      "RMSE Value for AC3792 is :  0.06867274546108915\n",
      "RMSE Value for AC3793 is :  0.034157080059919354\n",
      "RMSE Value for AC3794 is :  0.12755240855720162\n",
      "RMSE Value for AC3795 is :  0.048369413048634735\n",
      "RMSE Value for AC3796 is :  0.03821774634241115\n",
      "RMSE Value for AC3797 is :  0.11130974242723912\n",
      "RMSE Value for AC3798 is :  0.11130974242723912\n",
      "RMSE Value for AC3799 is :  0.1559770735346392\n",
      "RMSE Value for AC3800 is :  0.026035747494939976\n",
      "RMSE Value for AC3801 is :  0.050399746189887074\n",
      "RMSE Value for AC3802 is :  0.1417647405459238\n",
      "RMSE Value for AC3803 is :  0.08491541059105168\n",
      "RMSE Value for AC3804 is :  0.1458254078284149\n",
      "RMSE Value for AC3805 is :  0.11130974242723912\n",
      "RMSE Value for AC3806 is :  0.028066080636178325\n",
      "RMSE Value for AC3807 is :  0.056490745613613\n",
      "RMSE Value for AC3808 is :  0.050399746189887074\n",
      "RMSE Value for AC3809 is :  0.09100641001478782\n",
      "RMSE Value for AC3810 is :  0.13770407426342834\n",
      "RMSE Value for AC3811 is :  0.09303674315602972\n",
      "RMSE Value for AC3812 is :  0.07882441116731154\n",
      "RMSE Value for AC3813 is :  0.05243007933113142\n",
      "RMSE Value for AC3814 is :  0.06664241131984405\n",
      "RMSE Value for AC3815 is :  0.12755240855720162\n",
      "RMSE Value for AC3816 is :  0.08694574373229758\n",
      "RMSE Value for AC3817 is :  0.03009641377742933\n",
      "RMSE Value for AC3818 is :  0.0443087467661516\n",
      "RMSE Value for AC3819 is :  0.03009641377742933\n",
      "RMSE Value for AC3820 is :  0.13770407426342834\n",
      "RMSE Value for AC3821 is :  0.1316130748396901\n",
      "RMSE Value for AC3822 is :  0.09709741043852471\n",
      "RMSE Value for AC3823 is :  0.1458254078284149\n",
      "RMSE Value for AC3824 is :  0.05243007933113142\n",
      "RMSE Value for AC3825 is :  0.08694574373229758\n",
      "RMSE Value for AC3826 is :  0.16206807295837017\n",
      "RMSE Value for AC3827 is :  0.1417647405459238\n",
      "RMSE Value for AD1 is :  0.15191640725214584\n",
      "RMSE Value for AD2 is :  0.048369413048634735\n",
      "RMSE Value for AD3 is :  0.03009641377742933\n",
      "RMSE Value for AD4 is :  0.06461207817859838\n",
      "RMSE Value for AD5 is :  0.08085474430855588\n",
      "RMSE Value for AD6 is :  0.1153704087097337\n",
      "RMSE Value for AD7 is :  0.04024807948365838\n",
      "RMSE Value for AD8 is :  0.15394674039339162\n",
      "RMSE Value for AD9 is :  0.09506707729727637\n",
      "RMSE Value for AD10 is :  0.08491541059105168\n",
      "RMSE Value for AD11 is :  0.1580074066758801\n",
      "RMSE Value for AD12 is :  0.11130974242723912\n",
      "RMSE Value for AD13 is :  0.03009641377742933\n",
      "RMSE Value for AD14 is :  0.034157080059919354\n",
      "RMSE Value for AD15 is :  0.06258174503735603\n",
      "RMSE Value for AD16 is :  0.09100641001478782\n",
      "RMSE Value for AD17 is :  0.12349174227471205\n",
      "RMSE Value for AD18 is :  0.028066080636178325\n",
      "RMSE Value for AD19 is :  0.13770407426342834\n",
      "RMSE Value for AD20 is :  0.14988607411090227\n",
      "RMSE Value for AD21 is :  0.1580074066758801\n",
      "RMSE Value for AD22 is :  0.13973440740467602\n",
      "RMSE Value for AD23 is :  0.034157080059919354\n",
      "RMSE Value for AD24 is :  0.10521874300350809\n",
      "RMSE Value for AD25 is :  0.04227841262490628\n",
      "RMSE Value for AD26 is :  0.10521874300350809\n",
      "RMSE Value for AD27 is :  0.1133400755684878\n",
      "RMSE Value for AD28 is :  0.06055141189610924\n",
      "RMSE Value for AD29 is :  0.03009641377742933\n",
      "RMSE Value for AD30 is :  0.133643407980939\n",
      "RMSE Value for AD31 is :  0.08897607687354236\n",
      "RMSE Value for AD32 is :  0.06867274546108915\n",
      "RMSE Value for AD33 is :  0.1580074066758801\n",
      "RMSE Value for AD34 is :  0.08694574373229758\n",
      "RMSE Value for AD35 is :  0.05243007933113142\n",
      "RMSE Value for AD36 is :  0.13567374112218322\n",
      "RMSE Value for AD37 is :  0.133643407980939\n",
      "RMSE Value for AD38 is :  0.10724907614475243\n",
      "RMSE Value for AD39 is :  0.08491541059105168\n",
      "RMSE Value for AD40 is :  0.08288507744980356\n",
      "RMSE Value for AD41 is :  0.06055141189610924\n",
      "RMSE Value for AD42 is :  0.056490745613613\n",
      "RMSE Value for AD43 is :  0.10521874300350809\n",
      "RMSE Value for AD44 is :  0.13973440740467602\n",
      "RMSE Value for AD45 is :  0.05243007933113142\n",
      "RMSE Value for AD46 is :  0.12755240855720162\n",
      "RMSE Value for AD47 is :  0.09506707729727637\n",
      "RMSE Value for AD48 is :  0.0443087467661516\n",
      "RMSE Value for AD49 is :  0.1153704087097337\n",
      "RMSE Value for AD50 is :  0.07476374488482307\n",
      "RMSE Value for AD51 is :  0.07070307860233349\n",
      "RMSE Value for AD52 is :  0.1580074066758801\n",
      "RMSE Value for AD53 is :  0.04024807948365838\n",
      "RMSE Value for AD54 is :  0.10724907614475243\n",
      "RMSE Value for AD55 is :  0.021975081212446845\n",
      "RMSE Value for AD56 is :  0.06461207817859838\n",
      "RMSE Value for AD57 is :  0.12755240855720162\n",
      "RMSE Value for AD58 is :  0.13770407426342834\n",
      "RMSE Value for AD59 is :  0.08694574373229758\n",
      "RMSE Value for AD60 is :  0.07273341174358094\n",
      "RMSE Value for AD61 is :  0.1174007418509776\n",
      "RMSE Value for AD62 is :  0.15394674039339162\n",
      "RMSE Value for AD63 is :  0.12552207541595428\n",
      "RMSE Value for AD64 is :  0.160037739817127\n",
      "RMSE Value for AD65 is :  0.0443087467661516\n",
      "RMSE Value for AD66 is :  0.08085474430855588\n",
      "RMSE Value for AD67 is :  0.13973440740467602\n",
      "RMSE Value for AD68 is :  0.056490745613613\n",
      "RMSE Value for AD69 is :  0.1316130748396901\n",
      "RMSE Value for AD70 is :  0.15394674039339162\n",
      "RMSE Value for AD71 is :  0.160037739817127\n",
      "RMSE Value for AD72 is :  0.1174007418509776\n",
      "RMSE Value for AD73 is :  0.14785574096965393\n",
      "RMSE Value for AD74 is :  0.14379507368716515\n",
      "RMSE Value for AD75 is :  0.10115807672101096\n",
      "RMSE Value for AD76 is :  0.13973440740467602\n",
      "RMSE Value for AD77 is :  0.1458254078284149\n",
      "RMSE Value for AD78 is :  0.1133400755684878\n",
      "RMSE Value for AD79 is :  0.06258174503735603\n",
      "RMSE Value for AD80 is :  0.05243007933113142\n",
      "RMSE Value for AD81 is :  0.06664241131984405\n",
      "RMSE Value for AD82 is :  0.08085474430855588\n",
      "RMSE Value for AD83 is :  0.04227841262490628\n",
      "RMSE Value for AD84 is :  0.10318840986225974\n",
      "RMSE Value for AD85 is :  0.021975081212446845\n",
      "RMSE Value for AD86 is :  0.10724907614475243\n",
      "RMSE Value for AD87 is :  0.1559770735346392\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD88 is :  0.16206807295837017\n",
      "RMSE Value for AD89 is :  0.024005414353693855\n",
      "RMSE Value for AD90 is :  0.08897607687354236\n",
      "RMSE Value for AD91 is :  0.09100641001478782\n",
      "RMSE Value for AD92 is :  0.028066080636178325\n",
      "RMSE Value for AD93 is :  0.06258174503735603\n",
      "RMSE Value for AD94 is :  0.07070307860233349\n",
      "RMSE Value for AD95 is :  0.16206807295837017\n",
      "RMSE Value for AD96 is :  0.034157080059919354\n",
      "RMSE Value for AD97 is :  0.13770407426342834\n",
      "RMSE Value for AD98 is :  0.15191640725214584\n",
      "RMSE Value for AD99 is :  0.14379507368716515\n",
      "RMSE Value for AD100 is :  0.0443087467661516\n",
      "RMSE Value for AD101 is :  0.03618741320116037\n",
      "RMSE Value for AD102 is :  0.04227841262490628\n",
      "RMSE Value for AD103 is :  0.048369413048634735\n",
      "RMSE Value for AD104 is :  0.06258174503735603\n",
      "RMSE Value for AD105 is :  0.06055141189610924\n",
      "RMSE Value for AD106 is :  0.09506707729727637\n",
      "RMSE Value for AD107 is :  0.12349174227471205\n",
      "RMSE Value for AD108 is :  0.08491541059105168\n",
      "RMSE Value for AD109 is :  0.05852107875485535\n",
      "RMSE Value for AD110 is :  0.12146140913346959\n",
      "RMSE Value for AD111 is :  0.13770407426342834\n",
      "RMSE Value for AD112 is :  0.12755240855720162\n",
      "RMSE Value for AD113 is :  0.07679407802607474\n",
      "RMSE Value for AD114 is :  0.03009641377742933\n",
      "RMSE Value for AD115 is :  0.13770407426342834\n",
      "RMSE Value for AD116 is :  0.15394674039339162\n",
      "RMSE Value for AD117 is :  0.06867274546108915\n",
      "RMSE Value for AD118 is :  0.05243007933113142\n",
      "RMSE Value for AD119 is :  0.14379507368716515\n",
      "RMSE Value for AD120 is :  0.05852107875485535\n",
      "RMSE Value for AD121 is :  0.1174007418509776\n",
      "RMSE Value for AD122 is :  0.034157080059919354\n",
      "RMSE Value for AD123 is :  0.08288507744980356\n",
      "RMSE Value for AD124 is :  0.06664241131984405\n",
      "RMSE Value for AD125 is :  0.1153704087097337\n",
      "RMSE Value for AD126 is :  0.04633907990739461\n",
      "RMSE Value for AD127 is :  0.1580074066758801\n",
      "RMSE Value for AD128 is :  0.07273341174358094\n",
      "RMSE Value for AD129 is :  0.05852107875485535\n",
      "RMSE Value for AD130 is :  0.13973440740467602\n",
      "RMSE Value for AD131 is :  0.10318840986225974\n",
      "RMSE Value for AD132 is :  0.160037739817127\n",
      "RMSE Value for AD133 is :  0.09912774357977261\n",
      "RMSE Value for AD134 is :  0.05446041247237554\n",
      "RMSE Value for AD135 is :  0.05243007933113142\n",
      "RMSE Value for AD136 is :  0.08491541059105168\n",
      "RMSE Value for AD137 is :  0.1580074066758801\n",
      "RMSE Value for AD138 is :  0.16206807295837017\n",
      "RMSE Value for AD139 is :  0.1458254078284149\n",
      "RMSE Value for AD140 is :  0.09303674315602972\n",
      "RMSE Value for AD141 is :  0.08897607687354236\n",
      "RMSE Value for AD142 is :  0.028066080636178325\n",
      "RMSE Value for AD143 is :  0.06664241131984405\n",
      "RMSE Value for AD144 is :  0.05243007933113142\n",
      "RMSE Value for AD145 is :  0.12755240855720162\n",
      "RMSE Value for AD146 is :  0.09709741043852471\n",
      "RMSE Value for AD147 is :  0.07882441116731154\n",
      "RMSE Value for AD148 is :  0.14379507368716515\n",
      "RMSE Value for AD149 is :  0.10115807672101096\n",
      "RMSE Value for AD150 is :  0.1316130748396901\n",
      "RMSE Value for AD151 is :  0.04633907990739461\n",
      "RMSE Value for AD152 is :  0.06055141189610924\n",
      "RMSE Value for AD153 is :  0.10521874300350809\n",
      "RMSE Value for AD154 is :  0.09912774357977261\n",
      "RMSE Value for AD155 is :  0.07273341174358094\n",
      "RMSE Value for AD156 is :  0.03009641377742933\n",
      "RMSE Value for AD157 is :  0.14379507368716515\n",
      "RMSE Value for AD158 is :  0.10724907614475243\n",
      "RMSE Value for AD159 is :  0.11130974242723912\n",
      "RMSE Value for AD160 is :  0.09506707729727637\n",
      "RMSE Value for AD161 is :  0.1417647405459238\n",
      "RMSE Value for AD162 is :  0.09100641001478782\n",
      "RMSE Value for AD163 is :  0.05446041247237554\n",
      "RMSE Value for AD164 is :  0.03009641377742933\n",
      "RMSE Value for AD165 is :  0.15191640725214584\n",
      "RMSE Value for AD166 is :  0.03618741320116037\n",
      "RMSE Value for AD167 is :  0.09709741043852471\n",
      "RMSE Value for AD168 is :  0.03821774634241115\n",
      "RMSE Value for AD169 is :  0.14379507368716515\n",
      "RMSE Value for AD170 is :  0.14988607411090227\n",
      "RMSE Value for AD171 is :  0.13973440740467602\n",
      "RMSE Value for AD172 is :  0.13567374112218322\n",
      "RMSE Value for AD173 is :  0.13770407426342834\n",
      "RMSE Value for AD174 is :  0.1174007418509776\n",
      "RMSE Value for AD175 is :  0.1316130748396901\n",
      "RMSE Value for AD176 is :  0.11943107499222239\n",
      "RMSE Value for AD177 is :  0.10318840986225974\n",
      "RMSE Value for AD178 is :  0.04024807948365838\n",
      "RMSE Value for AD179 is :  0.14785574096965393\n",
      "RMSE Value for AD180 is :  0.12755240855720162\n",
      "RMSE Value for AD181 is :  0.04024807948365838\n",
      "RMSE Value for AD182 is :  0.1417647405459238\n",
      "RMSE Value for AD183 is :  0.109279409285993\n",
      "RMSE Value for AD184 is :  0.07882441116731154\n",
      "RMSE Value for AD185 is :  0.04024807948365838\n",
      "RMSE Value for AD186 is :  0.04227841262490628\n",
      "RMSE Value for AD187 is :  0.024005414353693855\n",
      "RMSE Value for AD188 is :  0.160037739817127\n",
      "RMSE Value for AD189 is :  0.06258174503735603\n",
      "RMSE Value for AD190 is :  0.0443087467661516\n",
      "RMSE Value for AD191 is :  0.06664241131984405\n",
      "RMSE Value for AD192 is :  0.07476374488482307\n",
      "RMSE Value for AD193 is :  0.06055141189610924\n",
      "RMSE Value for AD194 is :  0.1458254078284149\n",
      "RMSE Value for AD195 is :  0.160037739817127\n",
      "RMSE Value for AD196 is :  0.133643407980939\n",
      "RMSE Value for AD197 is :  0.08897607687354236\n",
      "RMSE Value for AD198 is :  0.09709741043852471\n",
      "RMSE Value for AD199 is :  0.12552207541595428\n",
      "RMSE Value for AD200 is :  0.09506707729727637\n",
      "RMSE Value for AD201 is :  0.028066080636178325\n",
      "RMSE Value for AD202 is :  0.03009641377742933\n",
      "RMSE Value for AD203 is :  0.06664241131984405\n",
      "RMSE Value for AD204 is :  0.06258174503735603\n",
      "RMSE Value for AD205 is :  0.15191640725214584\n",
      "RMSE Value for AD206 is :  0.03821774634241115\n",
      "RMSE Value for AD207 is :  0.08288507744980356\n",
      "RMSE Value for AD208 is :  0.03618741320116037\n",
      "RMSE Value for AD209 is :  0.14785574096965393\n",
      "RMSE Value for AD210 is :  0.05243007933113142\n",
      "RMSE Value for AD211 is :  0.056490745613613\n",
      "RMSE Value for AD212 is :  0.14988607411090227\n",
      "RMSE Value for AD213 is :  0.024005414353693855\n",
      "RMSE Value for AD214 is :  0.1580074066758801\n",
      "RMSE Value for AD215 is :  0.07679407802607474\n",
      "RMSE Value for AD216 is :  0.09100641001478782\n",
      "RMSE Value for AD217 is :  0.06092321720553495\n",
      "RMSE Value for AD218 is :  0.11426816483158819\n",
      "RMSE Value for AD219 is :  0.3066600115164605\n",
      "RMSE Value for AD220 is :  0.36303892096340507\n",
      "RMSE Value for AD221 is :  0.246493624897966\n",
      "RMSE Value for AD222 is :  0.007840082500468082\n",
      "RMSE Value for AD223 is :  0.27252753061467505\n",
      "RMSE Value for AD224 is :  0.35090970615258055\n",
      "RMSE Value for AD225 is :  0.3903499628727425\n",
      "RMSE Value for AD226 is :  0.37417145996937173\n",
      "RMSE Value for AD227 is :  0.3579929570660081\n",
      "RMSE Value for AD228 is :  0.21437314507267424\n",
      "RMSE Value for AD229 is :  0.29782657144751357\n",
      "RMSE Value for AD230 is :  0.15650585839119557\n",
      "RMSE Value for AD231 is :  0.2654695656407777\n",
      "RMSE Value for AD232 is :  0.02681602224327939\n",
      "RMSE Value for AD233 is :  0.2331125588340427\n",
      "RMSE Value for AD234 is :  0.1613152963071418\n",
      "RMSE Value for AD235 is :  0.27200390577271194\n",
      "RMSE Value for AD236 is :  0.2881824096760852\n",
      "RMSE Value for AD237 is :  0.20702808223826574\n",
      "RMSE Value for AD238 is :  0.39006286501222864\n",
      "RMSE Value for AD239 is :  0.42014605782147907\n",
      "RMSE Value for AD240 is :  0.11986303851046931\n",
      "RMSE Value for AD241 is :  0.22882674476005704\n",
      "RMSE Value for AD242 is :  0.4212185924449253\n",
      "RMSE Value for AD243 is :  0.012100610634924847\n",
      "RMSE Value for AD244 is :  0.5140037957911485\n",
      "RMSE Value for AD245 is :  0.39207486608873143\n",
      "RMSE Value for AD246 is :  0.17187363959209478\n",
      "RMSE Value for AD247 is :  0.29928966174251825\n",
      "RMSE Value for AD248 is :  0.41280099498706524\n",
      "RMSE Value for AD249 is :  0.08549403162723501\n",
      "RMSE Value for AD250 is :  0.08322021862975482\n",
      "RMSE Value for AD251 is :  0.2338979955969812\n",
      "RMSE Value for AD252 is :  0.07427899732992116\n",
      "RMSE Value for AD253 is :  0.4379207191902712\n",
      "RMSE Value for AD254 is :  0.3291110436307878\n",
      "RMSE Value for AD255 is :  0.47508716291293784\n",
      "RMSE Value for AD256 is :  0.4170868090610569\n",
      "RMSE Value for AD257 is :  0.16463635698854617\n",
      "RMSE Value for AD258 is :  0.22696877537365423\n",
      "RMSE Value for AD259 is :  0.31304032095829104\n",
      "RMSE Value for AD260 is :  0.4220040282078745\n",
      "RMSE Value for AD261 is :  0.08601765546919427\n",
      "RMSE Value for AD262 is :  0.1532672920011281\n",
      "RMSE Value for AD263 is :  0.109279409285993\n",
      "RMSE Value for AD264 is :  0.07070307860233349\n",
      "RMSE Value for AD265 is :  0.08491541059105168\n",
      "RMSE Value for AD266 is :  0.03009641377742933\n",
      "RMSE Value for AD267 is :  0.034157080059919354\n",
      "RMSE Value for AD268 is :  0.08085474430855588\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD269 is :  0.08897607687354236\n",
      "RMSE Value for AD270 is :  0.06664241131984405\n",
      "RMSE Value for AD271 is :  0.16206807295837017\n",
      "RMSE Value for AD272 is :  0.028066080636178325\n",
      "RMSE Value for AD273 is :  0.11130974242723912\n",
      "RMSE Value for AD274 is :  0.10724907614475243\n",
      "RMSE Value for AD275 is :  0.04024807948365838\n",
      "RMSE Value for AD276 is :  0.109279409285993\n",
      "RMSE Value for AD277 is :  0.13973440740467602\n",
      "RMSE Value for AD278 is :  0.07679407802607474\n",
      "RMSE Value for AD279 is :  0.12349174227471205\n",
      "RMSE Value for AD280 is :  0.03009641377742933\n",
      "RMSE Value for AD281 is :  0.028066080636178325\n",
      "RMSE Value for AD282 is :  0.10115807672101096\n",
      "RMSE Value for AD283 is :  0.1174007418509776\n",
      "RMSE Value for AD284 is :  0.12755240855720162\n",
      "RMSE Value for AD285 is :  0.12146140913346959\n",
      "RMSE Value for AD286 is :  0.13567374112218322\n",
      "RMSE Value for AD287 is :  0.1174007418509776\n",
      "RMSE Value for AD288 is :  0.10318840986225974\n",
      "RMSE Value for AD289 is :  0.12349174227471205\n",
      "RMSE Value for AD290 is :  0.14988607411090227\n",
      "RMSE Value for AD291 is :  0.06664241131984405\n",
      "RMSE Value for AD292 is :  0.12958274169844974\n",
      "RMSE Value for AD293 is :  0.08288507744980356\n",
      "RMSE Value for AD294 is :  0.07882441116731154\n",
      "RMSE Value for AD295 is :  0.10724907614475243\n",
      "RMSE Value for AD296 is :  0.07070307860233349\n",
      "RMSE Value for AD297 is :  0.03618741320116037\n",
      "RMSE Value for AD298 is :  0.13567374112218322\n",
      "RMSE Value for AD299 is :  0.11943107499222239\n",
      "RMSE Value for AD300 is :  0.0443087467661516\n",
      "RMSE Value for AD301 is :  0.021975081212446845\n",
      "RMSE Value for AD302 is :  0.1417647405459238\n",
      "RMSE Value for AD303 is :  0.1153704087097337\n",
      "RMSE Value for AD304 is :  0.024005414353693855\n",
      "RMSE Value for AD305 is :  0.056490745613613\n",
      "RMSE Value for AD306 is :  0.08288507744980356\n",
      "RMSE Value for AD307 is :  0.1580074066758801\n",
      "RMSE Value for AD308 is :  0.08694574373229758\n",
      "RMSE Value for AD309 is :  0.09912774357977261\n",
      "RMSE Value for AD310 is :  0.09912774357977261\n",
      "RMSE Value for AD311 is :  0.07273341174358094\n",
      "RMSE Value for AD312 is :  0.050399746189887074\n",
      "RMSE Value for AD313 is :  0.026035747494939976\n",
      "RMSE Value for AD314 is :  0.026035747494939976\n",
      "RMSE Value for AD315 is :  0.1153704087097337\n",
      "RMSE Value for AD316 is :  0.12146140913346959\n",
      "RMSE Value for AD317 is :  0.13973440740467602\n",
      "RMSE Value for AD318 is :  0.1133400755684878\n",
      "RMSE Value for AD319 is :  0.03821774634241115\n",
      "RMSE Value for AD320 is :  0.028066080636178325\n",
      "RMSE Value for AD321 is :  0.08694574373229758\n",
      "RMSE Value for AD322 is :  0.1559770735346392\n",
      "RMSE Value for AD323 is :  0.1580074066758801\n",
      "RMSE Value for AD324 is :  0.048369413048634735\n",
      "RMSE Value for AD325 is :  0.08085474430855588\n",
      "RMSE Value for AD326 is :  0.08491541059105168\n",
      "RMSE Value for AD327 is :  0.13770407426342834\n",
      "RMSE Value for AD328 is :  0.15191640725214584\n",
      "RMSE Value for AD329 is :  0.11943107499222239\n",
      "RMSE Value for AD330 is :  0.026035747494939976\n",
      "RMSE Value for AD331 is :  0.05446041247237554\n",
      "RMSE Value for AD332 is :  0.12552207541595428\n",
      "RMSE Value for AD333 is :  0.12958274169844974\n",
      "RMSE Value for AD334 is :  0.4822554735620128\n",
      "RMSE Value for AD335 is :  0.5183752316855081\n",
      "RMSE Value for AD336 is :  1.088678132995378\n",
      "RMSE Value for AD337 is :  0.13556984818113327\n",
      "RMSE Value for AD338 is :  0.36953521489217445\n",
      "RMSE Value for AD339 is :  0.939838116202049\n",
      "RMSE Value for AD340 is :  0.8968196308905151\n",
      "RMSE Value for AD341 is :  0.1552114582174975\n",
      "RMSE Value for AD342 is :  1.0877665122900246\n",
      "RMSE Value for AD343 is :  1.0843171486960075\n",
      "RMSE Value for AD344 is :  0.7840993722206674\n",
      "RMSE Value for AD345 is :  0.40474335231031955\n",
      "RMSE Value for AD346 is :  1.093753618772718\n",
      "RMSE Value for AD347 is :  0.16042989481723025\n",
      "RMSE Value for AD348 is :  0.987932087290904\n",
      "RMSE Value for AD349 is :  0.15353116762919605\n",
      "RMSE Value for AD350 is :  0.26878916918770246\n",
      "RMSE Value for AD351 is :  0.28512436645244477\n",
      "RMSE Value for AD352 is :  0.3014595637171834\n",
      "RMSE Value for AD353 is :  0.41671756527568793\n",
      "RMSE Value for AD354 is :  0.02199213721093063\n",
      "RMSE Value for AD355 is :  0.21197322950011177\n",
      "RMSE Value for AD356 is :  0.8811989351037585\n",
      "RMSE Value for AD357 is :  0.22485906317082882\n",
      "RMSE Value for AD358 is :  0.953438451350733\n",
      "RMSE Value for AD359 is :  0.9302045268979666\n",
      "RMSE Value for AD360 is :  0.19472641153002634\n",
      "RMSE Value for AD361 is :  0.052785121924723066\n",
      "RMSE Value for AD362 is :  0.8407181926808989\n",
      "RMSE Value for AD363 is :  0.7976997073693741\n",
      "RMSE Value for AD364 is :  0.12157527457769246\n",
      "RMSE Value for AD365 is :  0.47424800644125664\n",
      "RMSE Value for AD366 is :  0.17403022996592377\n",
      "RMSE Value for AD367 is :  0.22511035080318964\n",
      "RMSE Value for AD368 is :  0.2879133969734713\n",
      "RMSE Value for AD369 is :  0.16368213918387253\n",
      "RMSE Value for AD370 is :  0.41743206675366507\n",
      "RMSE Value for AD371 is :  0.4139827031596479\n",
      "RMSE Value for AD372 is :  0.03462668324928764\n",
      "RMSE Value for AD373 is :  0.9214825582992356\n",
      "RMSE Value for AD374 is :  0.30860957853757387\n",
      "RMSE Value for AD375 is :  0.2922743812728378\n",
      "RMSE Value for AD376 is :  0.11975203316699867\n",
      "RMSE Value for AD377 is :  0.31414827816052426\n",
      "RMSE Value for AD378 is :  0.22348422861986694\n",
      "RMSE Value for AD379 is :  0.3456409573664161\n",
      "RMSE Value for AD380 is :  0.3095211992429233\n",
      "RMSE Value for AD381 is :  0.45862731065449114\n",
      "RMSE Value for AD382 is :  0.3166860210491922\n",
      "RMSE Value for AD383 is :  0.5506513877602345\n",
      "RMSE Value for AD384 is :  0.9626778022000683\n",
      "RMSE Value for AD385 is :  0.20741512597337097\n",
      "RMSE Value for AD386 is :  0.10504295808558184\n",
      "RMSE Value for AD387 is :  0.3785774465141286\n",
      "RMSE Value for AD388 is :  0.4344817654963715\n",
      "RMSE Value for AD389 is :  0.24164266729530326\n",
      "RMSE Value for AD390 is :  0.7243514511896603\n",
      "RMSE Value for AD391 is :  0.384564552996812\n",
      "RMSE Value for AD392 is :  0.8559446500129109\n",
      "RMSE Value for AD393 is :  0.31831214323251666\n",
      "RMSE Value for AD394 is :  0.29845860698289695\n",
      "RMSE Value for AD395 is :  0.02492411855434762\n",
      "RMSE Value for AD396 is :  0.20904124815669567\n",
      "RMSE Value for AD397 is :  0.13074565003615501\n",
      "RMSE Value for AD398 is :  0.12300427753364129\n",
      "RMSE Value for AD399 is :  0.09977035308086468\n",
      "RMSE Value for AD400 is :  0.45244308494443564\n",
      "RMSE Value for AD401 is :  0.01373338245781519\n",
      "RMSE Value for AD402 is :  0.2081296274513451\n",
      "RMSE Value for AD403 is :  0.19101095331776818\n",
      "RMSE Value for AD404 is :  0.8541214086022157\n",
      "RMSE Value for AD405 is :  0.6330418755619007\n",
      "RMSE Value for AD406 is :  0.10243623980604633\n",
      "RMSE Value for AD407 is :  0.08610104254131079\n",
      "RMSE Value for AD408 is :  0.642478345638605\n",
      "RMSE Value for AD409 is :  0.20376864315197718\n",
      "RMSE Value for AD410 is :  0.06182735354667668\n",
      "RMSE Value for AD411 is :  0.17903674035239425\n",
      "RMSE Value for AD412 is :  0.2022706648051672\n",
      "RMSE Value for AD413 is :  0.684585210244784\n",
      "RMSE Value for AD414 is :  0.18938483113444549\n",
      "RMSE Value for AD415 is :  0.024795974717837455\n",
      "RMSE Value for AD416 is :  0.021346611123820303\n",
      "RMSE Value for AD417 is :  0.5125112689986733\n",
      "RMSE Value for AD418 is :  0.15293980994707157\n",
      "RMSE Value for AD419 is :  0.3473360549406048\n",
      "RMSE Value for AD420 is :  0.32410213048782444\n",
      "RMSE Value for AD421 is :  0.755913105786415\n",
      "RMSE Value for AD422 is :  0.03891869215778754\n",
      "RMSE Value for AD423 is :  0.3193519077743733\n",
      "RMSE Value for AD424 is :  0.38215495394465326\n",
      "RMSE Value for AD425 is :  0.08883590465735036\n",
      "RMSE Value for AD426 is :  0.15163895082763557\n",
      "RMSE Value for AD427 is :  0.4914258490204798\n",
      "RMSE Value for AD428 is :  0.09866161314814859\n",
      "RMSE Value for AD429 is :  0.2534887364241625\n",
      "RMSE Value for AD430 is :  0.06651360090992431\n",
      "RMSE Value for AD431 is :  0.5037893003999379\n",
      "RMSE Value for AD432 is :  0.4691035452730531\n",
      "RMSE Value for AD433 is :  0.07686169169197576\n",
      "RMSE Value for AD434 is :  0.038396309866533196\n",
      "RMSE Value for AD435 is :  0.3211751491850675\n",
      "RMSE Value for AD436 is :  0.07106670439601181\n",
      "RMSE Value for AD437 is :  0.16979738950306578\n",
      "RMSE Value for AD438 is :  0.024598855490465033\n",
      "RMSE Value for AD439 is :  0.7333936828116174\n",
      "RMSE Value for AD440 is :  0.10100723685009538\n",
      "RMSE Value for AD441 is :  0.5199323784779661\n",
      "RMSE Value for AD442 is :  0.6241227877357949\n",
      "RMSE Value for AD443 is :  0.23006269278467872\n",
      "RMSE Value for AD444 is :  0.5104959084012582\n",
      "RMSE Value for AD445 is :  0.27743716235490834\n",
      "RMSE Value for AD446 is :  0.5569637573068046\n",
      "RMSE Value for AD447 is :  0.5406285600420686\n",
      "RMSE Value for AD448 is :  0.425370558483551\n",
      "RMSE Value for AD449 is :  0.10536322110880492\n",
      "RMSE Value for AD450 is :  0.0029910532210111196\n",
      "RMSE Value for AD451 is :  0.2171718590732945\n",
      "RMSE Value for AD452 is :  0.09501513032675346\n",
      "RMSE Value for AD453 is :  0.13113488845024612\n",
      "RMSE Value for AD454 is :  0.008978159703704192\n",
      "RMSE Value for AD455 is :  0.3505932993479023\n",
      "RMSE Value for AD456 is :  0.09684337177810964\n",
      "RMSE Value for AD457 is :  0.6910896989780588\n",
      "RMSE Value for AD458 is :  0.31173367906770744\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD459 is :  0.463313558017739\n",
      "RMSE Value for AD460 is :  0.5818188039022401\n",
      "RMSE Value for AD461 is :  0.4200929534381874\n",
      "RMSE Value for AD462 is :  0.040736933527824704\n",
      "RMSE Value for AD463 is :  0.4968955732525683\n",
      "RMSE Value for AD464 is :  0.3816375716940562\n",
      "RMSE Value for AD465 is :  0.5433634221581105\n",
      "RMSE Value for AD466 is :  0.4874591031758586\n",
      "RMSE Value for AD467 is :  0.6170269413203875\n",
      "RMSE Value for AD468 is :  0.6130651955164277\n",
      "RMSE Value for AD469 is :  0.5112054098385814\n",
      "RMSE Value for AD470 is :  0.4088332419507896\n",
      "RMSE Value for AD471 is :  0.5240912435092993\n",
      "RMSE Value for AD472 is :  0.5675089673162304\n",
      "RMSE Value for AD473 is :  0.596330759756285\n",
      "RMSE Value for AD474 is :  0.3356821049984451\n",
      "RMSE Value for AD475 is :  0.055248889381870114\n",
      "RMSE Value for AD476 is :  0.091368647505359\n",
      "RMSE Value for AD477 is :  0.4858329809925379\n",
      "RMSE Value for AD478 is :  0.1529448099877262\n",
      "RMSE Value for AD479 is :  0.23929704359334836\n",
      "RMSE Value for AD480 is :  0.49304697116314533\n",
      "RMSE Value for AD481 is :  0.598553239662384\n",
      "RMSE Value for AD482 is :  0.028250338352517224\n",
      "RMSE Value for AD483 is :  0.027653980629733343\n",
      "RMSE Value for AD484 is :  0.23299467412809327\n",
      "RMSE Value for AD485 is :  0.3353668420158864\n",
      "RMSE Value for AD486 is :  0.13601325500020756\n",
      "RMSE Value for AD487 is :  0.23148669569996572\n",
      "RMSE Value for AD488 is :  0.12808476335163865\n",
      "RMSE Value for AD489 is :  0.382864455381968\n",
      "RMSE Value for AD490 is :  0.4189842135054678\n",
      "RMSE Value for AD491 is :  0.0988637324161763\n",
      "RMSE Value for AD492 is :  0.3595123871740058\n",
      "RMSE Value for AD493 is :  0.6992992853668552\n",
      "RMSE Value for AD494 is :  0.10841834624807078\n",
      "RMSE Value for AD495 is :  0.6864134516961299\n",
      "RMSE Value for AD496 is :  0.7492164978664163\n",
      "RMSE Value for AD497 is :  0.09807025546601955\n",
      "RMSE Value for AD498 is :  0.391389304753331\n",
      "RMSE Value for AD499 is :  0.05160240656047388\n",
      "RMSE Value for AD500 is :  0.5453837827961786\n",
      "RMSE Value for AD501 is :  0.2520647335088788\n",
      "RMSE Value for AD502 is :  0.25551409710289597\n",
      "RMSE Value for AD503 is :  0.4172399475669516\n",
      "RMSE Value for AD504 is :  0.6185349197485084\n",
      "RMSE Value for AD505 is :  0.030906224996371412\n",
      "RMSE Value for AD506 is :  0.44737259920775574\n",
      "RMSE Value for AD507 is :  0.6288830105305596\n",
      "RMSE Value for AD508 is :  0.15750291351446677\n",
      "RMSE Value for AD509 is :  0.353446305219143\n",
      "RMSE Value for AD510 is :  0.42160093186631364\n",
      "RMSE Value for AD511 is :  0.14806644343776632\n",
      "RMSE Value for AD512 is :  0.13173124617303023\n",
      "RMSE Value for AD513 is :  0.3594334117018294\n",
      "RMSE Value for AD514 is :  0.35598404810781226\n",
      "RMSE Value for AD515 is :  0.6366933584239461\n",
      "RMSE Value for AD516 is :  0.026821335396572277\n",
      "RMSE Value for AD517 is :  0.5644538421769622\n",
      "RMSE Value for AD518 is :  0.5679032057709793\n",
      "RMSE Value for AD519 is :  0.47722915614899897\n",
      "RMSE Value for AD520 is :  0.11765769709740148\n",
      "RMSE Value for AD521 is :  0.8156660268580868\n",
      "RMSE Value for AD522 is :  0.14644032125444317\n",
      "RMSE Value for AD523 is :  0.8423493149048779\n",
      "RMSE Value for AD524 is :  0.27204641359500514\n",
      "RMSE Value for AD525 is :  0.11721929031898459\n",
      "RMSE Value for AD526 is :  0.39372992841462007\n",
      "RMSE Value for AD527 is :  0.46045555210584665\n",
      "RMSE Value for AD528 is :  0.00886001594851038\n",
      "RMSE Value for AD529 is :  0.22510535076253646\n",
      "RMSE Value for AD530 is :  0.7873566166279758\n",
      "RMSE Value for AD531 is :  0.41605223216204457\n",
      "RMSE Value for AD532 is :  0.49748693093468965\n",
      "RMSE Value for AD533 is :  0.7581355856925166\n",
      "RMSE Value for AD534 is :  0.02955619751261307\n",
      "RMSE Value for AD535 is :  0.42869677828171926\n",
      "RMSE Value for AD536 is :  0.0958086072769142\n",
      "RMSE Value for AD537 is :  0.2575344577409626\n",
      "RMSE Value for AD538 is :  0.3325530044276561\n",
      "RMSE Value for AD539 is :  0.3884573234099078\n",
      "RMSE Value for AD540 is :  0.167377790369593\n",
      "RMSE Value for AD541 is :  0.17240910782325813\n",
      "RMSE Value for AD542 is :  0.37810923262785656\n",
      "RMSE Value for AD543 is :  0.0976760170112656\n",
      "RMSE Value for AD544 is :  0.5784484157804053\n",
      "RMSE Value for AD545 is :  0.20599112305808176\n",
      "RMSE Value for AD546 is :  0.5457780212509289\n",
      "RMSE Value for AD547 is :  0.5492273848449463\n",
      "RMSE Value for AD548 is :  0.25590833555764547\n",
      "RMSE Value for AD549 is :  0.3582805034454326\n",
      "RMSE Value for AD550 is :  0.500221793050732\n",
      "RMSE Value for AD551 is :  0.9191469346785995\n",
      "RMSE Value for AD552 is :  0.9028117374138636\n",
      "RMSE Value for AD553 is :  0.4314316403977678\n",
      "RMSE Value for AD554 is :  0.45466556485053866\n",
      "RMSE Value for AD555 is :  0.022854589551950966\n",
      "RMSE Value for AD556 is :  0.046088514004722914\n",
      "RMSE Value for AD557 is :  0.009968755881230695\n",
      "RMSE Value for AD558 is :  0.3624885368410937\n",
      "RMSE Value for AD559 is :  0.41255870024435515\n",
      "RMSE Value for AD560 is :  0.8512684027309781\n",
      "RMSE Value for AD561 is :  0.8745023271837518\n",
      "RMSE Value for AD562 is :  0.1854920607213586\n",
      "RMSE Value for AD563 is :  0.7231245675017485\n",
      "RMSE Value for AD564 is :  0.3220077944182296\n",
      "RMSE Value for AD565 is :  0.21562471236216219\n",
      "RMSE Value for AD566 is :  0.35467818894771064\n",
      "RMSE Value for AD567 is :  0.05446041247237554\n",
      "RMSE Value for AD568 is :  0.14379507368716515\n",
      "RMSE Value for AD569 is :  0.10318840986225974\n",
      "RMSE Value for AD570 is :  0.10521874300350809\n",
      "RMSE Value for AD571 is :  0.13567374112218322\n",
      "RMSE Value for AD572 is :  0.12349174227471205\n",
      "RMSE Value for AD573 is :  0.14785574096965393\n",
      "RMSE Value for AD574 is :  0.16206807295837017\n",
      "RMSE Value for AD575 is :  0.056490745613613\n",
      "RMSE Value for AD576 is :  0.06461207817859838\n",
      "RMSE Value for AD577 is :  0.03821774634241115\n",
      "RMSE Value for AD578 is :  0.026035747494939976\n",
      "RMSE Value for AD579 is :  0.08897607687354236\n",
      "RMSE Value for AD580 is :  0.133643407980939\n",
      "RMSE Value for AD581 is :  0.07476374488482307\n",
      "RMSE Value for AD582 is :  0.12552207541595428\n",
      "RMSE Value for AD583 is :  0.10521874300350809\n",
      "RMSE Value for AD584 is :  0.026035747494939976\n",
      "RMSE Value for AD585 is :  0.109279409285993\n",
      "RMSE Value for AD586 is :  0.13567374112218322\n",
      "RMSE Value for AD587 is :  0.1174007418509776\n",
      "RMSE Value for AD588 is :  0.09912774357977261\n",
      "RMSE Value for AD589 is :  0.10521874300350809\n",
      "RMSE Value for AD590 is :  0.10521874300350809\n",
      "RMSE Value for AD591 is :  0.021975081212446845\n",
      "RMSE Value for AD592 is :  0.13770407426342834\n",
      "RMSE Value for AD593 is :  0.09100641001478782\n",
      "RMSE Value for AD594 is :  0.03009641377742933\n",
      "RMSE Value for AD595 is :  0.10115807672101096\n",
      "RMSE Value for AD596 is :  0.15394674039339162\n",
      "RMSE Value for AD597 is :  0.024005414353693855\n",
      "RMSE Value for AD598 is :  0.04633907990739461\n",
      "RMSE Value for AD599 is :  0.021975081212446845\n",
      "RMSE Value for AD600 is :  0.07476374488482307\n",
      "RMSE Value for AD601 is :  0.12349174227471205\n",
      "RMSE Value for AD602 is :  0.024005414353693855\n",
      "RMSE Value for AD603 is :  0.05852107875485535\n",
      "RMSE Value for AD604 is :  0.07070307860233349\n",
      "RMSE Value for AD605 is :  0.13567374112218322\n",
      "RMSE Value for AD606 is :  0.1458254078284149\n",
      "RMSE Value for AD607 is :  0.08897607687354236\n",
      "RMSE Value for AD608 is :  0.056490745613613\n",
      "RMSE Value for AD609 is :  0.021975081212446845\n",
      "RMSE Value for AD610 is :  0.07273341174358094\n",
      "RMSE Value for AD611 is :  0.05446041247237554\n",
      "RMSE Value for AD612 is :  0.10724907614475243\n",
      "RMSE Value for AD613 is :  0.0443087467661516\n",
      "RMSE Value for AD614 is :  0.133643407980939\n",
      "RMSE Value for AD615 is :  0.12552207541595428\n",
      "RMSE Value for AD616 is :  0.056490745613613\n",
      "RMSE Value for AD617 is :  0.08288507744980356\n",
      "RMSE Value for AD618 is :  0.10318840986225974\n",
      "RMSE Value for AD619 is :  0.05852107875485535\n",
      "RMSE Value for AD620 is :  0.10318840986225974\n",
      "RMSE Value for AD621 is :  0.04227841262490628\n",
      "RMSE Value for AD622 is :  0.10115807672101096\n",
      "RMSE Value for AD623 is :  0.11943107499222239\n",
      "RMSE Value for AD624 is :  0.03821774634241115\n",
      "RMSE Value for AD625 is :  0.04633907990739461\n",
      "RMSE Value for AD626 is :  0.13973440740467602\n",
      "RMSE Value for AD627 is :  0.1417647405459238\n",
      "RMSE Value for AD628 is :  0.09912774357977261\n",
      "RMSE Value for AD629 is :  0.03618741320116037\n",
      "RMSE Value for AD630 is :  0.1133400755684878\n",
      "RMSE Value for AD631 is :  0.1133400755684878\n",
      "RMSE Value for AD632 is :  0.028066080636178325\n",
      "RMSE Value for AD633 is :  0.08085474430855588\n",
      "RMSE Value for AD634 is :  0.12958274169844974\n",
      "RMSE Value for AD635 is :  0.13567374112218322\n",
      "RMSE Value for AD636 is :  0.13567374112218322\n",
      "RMSE Value for AD637 is :  0.07882441116731154\n",
      "RMSE Value for AD638 is :  0.07070307860233349\n",
      "RMSE Value for AD639 is :  0.034157080059919354\n",
      "RMSE Value for AD640 is :  0.09912774357977261\n",
      "RMSE Value for AD641 is :  0.15191640725214584\n",
      "RMSE Value for AD642 is :  0.021975081212446845\n",
      "RMSE Value for AD643 is :  0.08288507744980356\n",
      "RMSE Value for AD644 is :  0.11943107499222239\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD645 is :  0.050399746189887074\n",
      "RMSE Value for AD646 is :  0.1174007418509776\n",
      "RMSE Value for AD647 is :  0.07679407802607474\n",
      "RMSE Value for AD648 is :  0.12146140913346959\n",
      "RMSE Value for AD649 is :  0.028066080636178325\n",
      "RMSE Value for AD650 is :  0.15191640725214584\n",
      "RMSE Value for AD651 is :  0.07679407802607474\n",
      "RMSE Value for AD652 is :  0.08288507744980356\n",
      "RMSE Value for AD653 is :  0.1417647405459238\n",
      "RMSE Value for AD654 is :  0.1580074066758801\n",
      "RMSE Value for AD655 is :  0.1417647405459238\n",
      "RMSE Value for AD656 is :  0.05852107875485535\n",
      "RMSE Value for AD657 is :  0.12552207541595428\n",
      "RMSE Value for AD658 is :  0.034157080059919354\n",
      "RMSE Value for AD659 is :  0.03009641377742933\n",
      "RMSE Value for AD660 is :  0.07070307860233349\n",
      "RMSE Value for AD661 is :  0.1559770735346392\n",
      "RMSE Value for AD662 is :  0.04227841262490628\n",
      "RMSE Value for AD663 is :  0.15394674039339162\n",
      "RMSE Value for AD664 is :  0.03821774634241115\n",
      "RMSE Value for AD665 is :  0.109279409285993\n",
      "RMSE Value for AD666 is :  0.03821774634241115\n",
      "RMSE Value for AD667 is :  0.0443087467661516\n",
      "RMSE Value for AD668 is :  0.09100641001478782\n",
      "RMSE Value for AD669 is :  0.06664241131984405\n",
      "RMSE Value for AD670 is :  0.1316130748396901\n",
      "RMSE Value for AD671 is :  0.15191640725214584\n",
      "RMSE Value for AD672 is :  0.14379507368716515\n",
      "RMSE Value for AD673 is :  0.03009641377742933\n",
      "RMSE Value for AD674 is :  0.07882441116731154\n",
      "RMSE Value for AD675 is :  0.12146140913346959\n",
      "RMSE Value for AD676 is :  0.024005414353693855\n",
      "RMSE Value for AD677 is :  0.16206807295837017\n",
      "RMSE Value for AD678 is :  0.14379507368716515\n",
      "RMSE Value for AD679 is :  0.06055141189610924\n",
      "RMSE Value for AD680 is :  0.09912774357977261\n",
      "RMSE Value for AD681 is :  0.12755240855720162\n",
      "RMSE Value for AD682 is :  0.10724907614475243\n",
      "RMSE Value for AD683 is :  0.13567374112218322\n",
      "RMSE Value for AD684 is :  0.1458254078284149\n",
      "RMSE Value for AD685 is :  0.04633907990739461\n",
      "RMSE Value for AD686 is :  0.14785574096965393\n",
      "RMSE Value for AD687 is :  0.133643407980939\n",
      "RMSE Value for AD688 is :  0.09303674315602972\n",
      "RMSE Value for AD689 is :  0.12146140913346959\n",
      "RMSE Value for AD690 is :  0.056490745613613\n",
      "RMSE Value for AD691 is :  0.1580074066758801\n",
      "RMSE Value for AD692 is :  0.08491541059105168\n",
      "RMSE Value for AD693 is :  0.07273341174358094\n",
      "RMSE Value for AD694 is :  0.034157080059919354\n",
      "RMSE Value for AD695 is :  0.11130974242723912\n",
      "RMSE Value for AD696 is :  0.12958274169844974\n",
      "RMSE Value for AD697 is :  0.06867274546108915\n",
      "RMSE Value for AD698 is :  0.13770407426342834\n",
      "RMSE Value for AD699 is :  0.14379507368716515\n",
      "RMSE Value for AD700 is :  0.10318840986225974\n",
      "RMSE Value for AD701 is :  0.07273341174358094\n",
      "RMSE Value for AD702 is :  0.12958274169844974\n",
      "RMSE Value for AD703 is :  0.14988607411090227\n",
      "RMSE Value for AD704 is :  0.08897607687354236\n",
      "RMSE Value for AD705 is :  0.1580074066758801\n",
      "RMSE Value for AD706 is :  0.1580074066758801\n",
      "RMSE Value for AD707 is :  0.13567374112218322\n",
      "RMSE Value for AD708 is :  0.03009641377742933\n",
      "RMSE Value for AD709 is :  0.050399746189887074\n",
      "RMSE Value for AD710 is :  0.05243007933113142\n",
      "RMSE Value for AD711 is :  0.07882441116731154\n",
      "RMSE Value for AD712 is :  0.14988607411090227\n",
      "RMSE Value for AD713 is :  0.024005414353693855\n",
      "RMSE Value for AD714 is :  0.034157080059919354\n",
      "RMSE Value for AD715 is :  0.021975081212446845\n",
      "RMSE Value for AD716 is :  0.09303674315602972\n",
      "RMSE Value for AD717 is :  0.1174007418509776\n",
      "RMSE Value for AD718 is :  0.04633907990739461\n",
      "RMSE Value for AD719 is :  0.07476374488482307\n",
      "RMSE Value for AD720 is :  0.07070307860233349\n",
      "RMSE Value for AD721 is :  0.1458254078284149\n",
      "RMSE Value for AD722 is :  0.10318840986225974\n",
      "RMSE Value for AD723 is :  0.05852107875485535\n",
      "RMSE Value for AD724 is :  0.06461207817859838\n",
      "RMSE Value for AD725 is :  0.1559770735346392\n",
      "RMSE Value for AD726 is :  0.14785574096965393\n",
      "RMSE Value for AD727 is :  0.03618741320116037\n",
      "RMSE Value for AD728 is :  0.10521874300350809\n",
      "RMSE Value for AD729 is :  0.048369413048634735\n",
      "RMSE Value for AD730 is :  0.14379507368716515\n",
      "RMSE Value for AD731 is :  0.11130974242723912\n",
      "RMSE Value for AD732 is :  0.1580074066758801\n",
      "RMSE Value for AD733 is :  0.06867274546108915\n",
      "RMSE Value for AD734 is :  0.06461207817859838\n",
      "RMSE Value for AD735 is :  0.026035747494939976\n",
      "RMSE Value for AD736 is :  0.056490745613613\n",
      "RMSE Value for AD737 is :  0.16206807295837017\n",
      "RMSE Value for AD738 is :  0.133643407980939\n",
      "RMSE Value for AD739 is :  0.08694574373229758\n",
      "RMSE Value for AD740 is :  0.0443087467661516\n",
      "RMSE Value for AD741 is :  0.15191640725214584\n",
      "RMSE Value for AD742 is :  0.14379507368716515\n",
      "RMSE Value for AD743 is :  0.1417647405459238\n",
      "RMSE Value for AD744 is :  0.12349174227471205\n",
      "RMSE Value for AD745 is :  0.07679407802607474\n",
      "RMSE Value for AD746 is :  0.026035747494939976\n",
      "RMSE Value for AD747 is :  0.14379507368716515\n",
      "RMSE Value for AD748 is :  0.056490745613613\n",
      "RMSE Value for AD749 is :  0.11943107499222239\n",
      "RMSE Value for AD750 is :  0.03821774634241115\n",
      "RMSE Value for AD751 is :  0.13973440740467602\n",
      "RMSE Value for AD752 is :  0.1174007418509776\n",
      "RMSE Value for AD753 is :  0.05446041247237554\n",
      "RMSE Value for AD754 is :  0.1458254078284149\n",
      "RMSE Value for AD755 is :  0.12755240855720162\n",
      "RMSE Value for AD756 is :  0.14379507368716515\n",
      "RMSE Value for AD757 is :  0.06258174503735603\n",
      "RMSE Value for AD758 is :  0.06664241131984405\n",
      "RMSE Value for AD759 is :  0.026035747494939976\n",
      "RMSE Value for AD760 is :  0.056490745613613\n",
      "RMSE Value for AD761 is :  0.03009641377742933\n",
      "RMSE Value for AD762 is :  0.15394674039339162\n",
      "RMSE Value for AD763 is :  0.04024807948365838\n",
      "RMSE Value for AD764 is :  0.0443087467661516\n",
      "RMSE Value for AD765 is :  0.10521874300350809\n",
      "RMSE Value for AD766 is :  0.14988607411090227\n",
      "RMSE Value for AD767 is :  0.03618741320116037\n",
      "RMSE Value for AD768 is :  0.08288507744980356\n",
      "RMSE Value for AD769 is :  0.06461207817859838\n",
      "RMSE Value for AD770 is :  0.109279409285993\n",
      "RMSE Value for AD771 is :  0.07679407802607474\n",
      "RMSE Value for AD772 is :  0.028066080636178325\n",
      "RMSE Value for AD773 is :  0.08694574373229758\n",
      "RMSE Value for AD774 is :  0.12755240855720162\n",
      "RMSE Value for AD775 is :  0.15191640725214584\n",
      "RMSE Value for AD776 is :  0.1417647405459238\n",
      "RMSE Value for AD777 is :  0.133643407980939\n",
      "RMSE Value for AD778 is :  0.048369413048634735\n",
      "RMSE Value for AD779 is :  0.04633907990739461\n",
      "RMSE Value for AD780 is :  0.1316130748396901\n",
      "RMSE Value for AD781 is :  0.160037739817127\n",
      "RMSE Value for AD782 is :  0.14785574096965393\n",
      "RMSE Value for AD783 is :  0.09912774357977261\n",
      "RMSE Value for AD784 is :  0.07070307860233349\n",
      "RMSE Value for AD785 is :  0.109279409285993\n",
      "RMSE Value for AD786 is :  0.08288507744980356\n",
      "RMSE Value for AD787 is :  0.056490745613613\n",
      "RMSE Value for AD788 is :  0.12958274169844974\n",
      "RMSE Value for AD789 is :  0.12755240855720162\n",
      "RMSE Value for AD790 is :  0.15191640725214584\n",
      "RMSE Value for AD791 is :  0.0443087467661516\n",
      "RMSE Value for AD792 is :  0.15191640725214584\n",
      "RMSE Value for AD793 is :  0.07882441116731154\n",
      "RMSE Value for AD794 is :  0.13770407426342834\n",
      "RMSE Value for AD795 is :  0.04227841262490628\n",
      "RMSE Value for AD796 is :  0.13973440740467602\n",
      "RMSE Value for AD797 is :  0.14379507368716515\n",
      "RMSE Value for AD798 is :  0.133643407980939\n",
      "RMSE Value for AD799 is :  0.07273341174358094\n",
      "RMSE Value for AD800 is :  0.08085474430855588\n",
      "RMSE Value for AD801 is :  0.13567374112218322\n",
      "RMSE Value for AD802 is :  0.14988607411090227\n",
      "RMSE Value for AD803 is :  0.06055141189610924\n",
      "RMSE Value for AD804 is :  0.0443087467661516\n",
      "RMSE Value for AD805 is :  0.1133400755684878\n",
      "RMSE Value for AD806 is :  0.160037739817127\n",
      "RMSE Value for AD807 is :  0.06867274546108915\n",
      "RMSE Value for AD808 is :  0.050399746189887074\n",
      "RMSE Value for AD809 is :  0.09912774357977261\n",
      "RMSE Value for AD810 is :  0.1417647405459238\n",
      "RMSE Value for AD811 is :  0.04024807948365838\n",
      "RMSE Value for AD812 is :  0.09506707729727637\n",
      "RMSE Value for AD813 is :  0.10115807672101096\n",
      "RMSE Value for AD814 is :  0.09303674315602972\n",
      "RMSE Value for AD815 is :  0.09506707729727637\n",
      "RMSE Value for AD816 is :  0.024005414353693855\n",
      "RMSE Value for AD817 is :  0.08491541059105168\n",
      "RMSE Value for AD818 is :  0.1559770735346392\n",
      "RMSE Value for AD819 is :  0.133643407980939\n",
      "RMSE Value for AD820 is :  0.04024807948365838\n",
      "RMSE Value for AD821 is :  0.06461207817859838\n",
      "RMSE Value for AD822 is :  0.03618741320116037\n",
      "RMSE Value for AD823 is :  0.14785574096965393\n",
      "RMSE Value for AD824 is :  0.08491541059105168\n",
      "RMSE Value for AD825 is :  0.026035747494939976\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD826 is :  0.1174007418509776\n",
      "RMSE Value for AD827 is :  0.048369413048634735\n",
      "RMSE Value for AD828 is :  0.04024807948365838\n",
      "RMSE Value for AD829 is :  0.12349174227471205\n",
      "RMSE Value for AD830 is :  0.1133400755684878\n",
      "RMSE Value for AD831 is :  0.1559770735346392\n",
      "RMSE Value for AD832 is :  0.07476374488482307\n",
      "RMSE Value for AD833 is :  0.09506707729727637\n",
      "RMSE Value for AD834 is :  0.021975081212446845\n",
      "RMSE Value for AD835 is :  0.160037739817127\n",
      "RMSE Value for AD836 is :  0.09709741043852471\n",
      "RMSE Value for AD837 is :  0.11130974242723912\n",
      "RMSE Value for AD838 is :  0.0443087467661516\n",
      "RMSE Value for AD839 is :  0.10318840986225974\n",
      "RMSE Value for AD840 is :  0.10724907614475243\n",
      "RMSE Value for AD841 is :  0.06258174503735603\n",
      "RMSE Value for AD842 is :  0.06461207817859838\n",
      "RMSE Value for AD843 is :  0.028066080636178325\n",
      "RMSE Value for AD844 is :  0.08897607687354236\n",
      "RMSE Value for AD845 is :  0.109279409285993\n",
      "RMSE Value for AD846 is :  0.03009641377742933\n",
      "RMSE Value for AD847 is :  0.06867274546108915\n",
      "RMSE Value for AD848 is :  0.10724907614475243\n",
      "RMSE Value for AD849 is :  0.13973440740467602\n",
      "RMSE Value for AD850 is :  0.06258174503735603\n",
      "RMSE Value for AD851 is :  0.026035747494939976\n",
      "RMSE Value for AD852 is :  0.026035747494939976\n",
      "RMSE Value for AD853 is :  0.1174007418509776\n",
      "RMSE Value for AD854 is :  0.05446041247237554\n",
      "RMSE Value for AD855 is :  0.026035747494939976\n",
      "RMSE Value for AD856 is :  0.13770407426342834\n",
      "RMSE Value for AD857 is :  0.03212674691867812\n",
      "RMSE Value for AD858 is :  0.06664241131984405\n",
      "RMSE Value for AD859 is :  0.13567374112218322\n",
      "RMSE Value for AD860 is :  0.08288507744980356\n",
      "RMSE Value for AD861 is :  0.08491541059105168\n",
      "RMSE Value for AD862 is :  0.03618741320116037\n",
      "RMSE Value for AD863 is :  0.07679407802607474\n",
      "RMSE Value for AD864 is :  0.026035747494939976\n",
      "RMSE Value for AD865 is :  0.03212674691867812\n",
      "RMSE Value for AD866 is :  0.08694574373229758\n",
      "RMSE Value for AD867 is :  0.14785574096965393\n",
      "RMSE Value for AD868 is :  0.12349174227471205\n",
      "RMSE Value for AD869 is :  0.04227841262490628\n",
      "RMSE Value for AD870 is :  0.12755240855720162\n",
      "RMSE Value for AD871 is :  0.06664241131984405\n",
      "RMSE Value for AD872 is :  0.050399746189887074\n",
      "RMSE Value for AD873 is :  0.056490745613613\n",
      "RMSE Value for AD874 is :  0.08694574373229758\n",
      "RMSE Value for AD875 is :  0.13973440740467602\n",
      "RMSE Value for AD876 is :  0.08694574373229758\n",
      "RMSE Value for AD877 is :  0.1174007418509776\n",
      "RMSE Value for AD878 is :  0.1174007418509776\n",
      "RMSE Value for AD879 is :  0.10724907614475243\n",
      "RMSE Value for AD880 is :  0.048369413048634735\n",
      "RMSE Value for AD881 is :  0.16206807295837017\n",
      "RMSE Value for AD882 is :  0.05243007933113142\n",
      "RMSE Value for AD883 is :  0.026035747494939976\n",
      "RMSE Value for AD884 is :  0.16206807295837017\n",
      "RMSE Value for AD885 is :  0.1580074066758801\n",
      "RMSE Value for AD886 is :  0.03618741320116037\n",
      "RMSE Value for AD887 is :  0.048369413048634735\n",
      "RMSE Value for AD888 is :  0.10115807672101096\n",
      "RMSE Value for AD889 is :  0.08694574373229758\n",
      "RMSE Value for AD890 is :  0.09506707729727637\n",
      "RMSE Value for AD891 is :  0.12958274169844974\n",
      "RMSE Value for AD892 is :  0.11943107499222239\n",
      "RMSE Value for AD893 is :  0.03009641377742933\n",
      "RMSE Value for AD894 is :  0.12755240855720162\n",
      "RMSE Value for AD895 is :  0.12958274169844974\n",
      "RMSE Value for AD896 is :  0.109279409285993\n",
      "RMSE Value for AD897 is :  0.15191640725214584\n",
      "RMSE Value for AD898 is :  0.04024807948365838\n",
      "RMSE Value for AD899 is :  0.09100641001478782\n",
      "RMSE Value for AD900 is :  0.024005414353693855\n",
      "RMSE Value for AD901 is :  0.10318840986225974\n",
      "RMSE Value for AD902 is :  0.04633907990739461\n",
      "RMSE Value for AD903 is :  0.09912774357977261\n",
      "RMSE Value for AD904 is :  0.1174007418509776\n",
      "RMSE Value for AD905 is :  0.026035747494939976\n",
      "RMSE Value for AD906 is :  0.10318840986225974\n",
      "RMSE Value for AD907 is :  0.1559770735346392\n",
      "RMSE Value for AD908 is :  0.1174007418509776\n",
      "RMSE Value for AD909 is :  0.14379507368716515\n",
      "RMSE Value for AD910 is :  0.12146140913346959\n",
      "RMSE Value for AD911 is :  0.1133400755684878\n",
      "RMSE Value for AD912 is :  0.14379507368716515\n",
      "RMSE Value for AD913 is :  0.13567374112218322\n",
      "RMSE Value for AD914 is :  0.09506707729727637\n",
      "RMSE Value for AD915 is :  0.0443087467661516\n",
      "RMSE Value for AD916 is :  0.10521874300350809\n",
      "RMSE Value for AD917 is :  0.0443087467661516\n",
      "RMSE Value for AD918 is :  0.09303674315602972\n",
      "RMSE Value for AD919 is :  0.133643407980939\n",
      "RMSE Value for AD920 is :  0.1559770735346392\n",
      "RMSE Value for AD921 is :  0.13567374112218322\n",
      "RMSE Value for AD922 is :  0.160037739817127\n",
      "RMSE Value for AD923 is :  0.14988607411090227\n",
      "RMSE Value for AD924 is :  0.13770407426342834\n",
      "RMSE Value for AD925 is :  0.1133400755684878\n",
      "RMSE Value for AD926 is :  0.03009641377742933\n",
      "RMSE Value for AD927 is :  0.03618741320116037\n",
      "RMSE Value for AD928 is :  0.1174007418509776\n",
      "RMSE Value for AD929 is :  0.07882441116731154\n",
      "RMSE Value for AD930 is :  0.08897607687354236\n",
      "RMSE Value for AD931 is :  0.15191640725214584\n",
      "RMSE Value for AD932 is :  0.11943107499222239\n",
      "RMSE Value for AD933 is :  0.09303674315602972\n",
      "RMSE Value for AD934 is :  0.056490745613613\n",
      "RMSE Value for AD935 is :  0.07476374488482307\n",
      "RMSE Value for AD936 is :  0.08694574373229758\n",
      "RMSE Value for AD937 is :  0.1580074066758801\n",
      "RMSE Value for AD938 is :  0.13770407426342834\n",
      "RMSE Value for AD939 is :  0.07679407802607474\n",
      "RMSE Value for AD940 is :  0.08491541059105168\n",
      "RMSE Value for AD941 is :  0.04227841262490628\n",
      "RMSE Value for AD942 is :  0.1316130748396901\n",
      "RMSE Value for AD943 is :  0.12146140913346959\n",
      "RMSE Value for AD944 is :  0.04633907990739461\n",
      "RMSE Value for AD945 is :  0.13567374112218322\n",
      "RMSE Value for AD946 is :  0.13973440740467602\n",
      "RMSE Value for AD947 is :  0.04024807948365838\n",
      "RMSE Value for AD948 is :  0.16206807295837017\n",
      "RMSE Value for AD949 is :  0.14785574096965393\n",
      "RMSE Value for AD950 is :  0.06664241131984405\n",
      "RMSE Value for AD951 is :  0.08085474430855588\n",
      "RMSE Value for AD952 is :  0.09100641001478782\n",
      "RMSE Value for AD953 is :  0.0443087467661516\n",
      "RMSE Value for AD954 is :  0.08288507744980356\n",
      "RMSE Value for AD955 is :  0.14988607411090227\n",
      "RMSE Value for AD956 is :  0.15394674039339162\n",
      "RMSE Value for AD957 is :  0.04227841262490628\n",
      "RMSE Value for AD958 is :  0.048369413048634735\n",
      "RMSE Value for AD959 is :  0.021975081212446845\n",
      "RMSE Value for AD960 is :  0.08288507744980356\n",
      "RMSE Value for AD961 is :  0.03212674691867812\n",
      "RMSE Value for AD962 is :  0.04024807948365838\n",
      "RMSE Value for AD963 is :  0.021975081212446845\n",
      "RMSE Value for AD964 is :  0.1133400755684878\n",
      "RMSE Value for AD965 is :  0.03009641377742933\n",
      "RMSE Value for AD966 is :  0.12958274169844974\n",
      "RMSE Value for AD967 is :  0.1580074066758801\n",
      "RMSE Value for AD968 is :  0.15394674039339162\n",
      "RMSE Value for AD969 is :  0.109279409285993\n",
      "RMSE Value for AD970 is :  0.10318840986225974\n",
      "RMSE Value for AD971 is :  0.024005414353693855\n",
      "RMSE Value for AD972 is :  0.1316130748396901\n",
      "RMSE Value for AD973 is :  0.021975081212446845\n",
      "RMSE Value for AD974 is :  0.04633907990739461\n",
      "RMSE Value for AD975 is :  0.08491541059105168\n",
      "RMSE Value for AD976 is :  0.03821774634241115\n",
      "RMSE Value for AD977 is :  0.07882441116731154\n",
      "RMSE Value for AD978 is :  0.028066080636178325\n",
      "RMSE Value for AD979 is :  0.048369413048634735\n",
      "RMSE Value for AD980 is :  0.133643407980939\n",
      "RMSE Value for AD981 is :  0.03212674691867812\n",
      "RMSE Value for AD982 is :  0.021975081212446845\n",
      "RMSE Value for AD983 is :  0.06461207817859838\n",
      "RMSE Value for AD984 is :  0.10318840986225974\n",
      "RMSE Value for AD985 is :  0.08897607687354236\n",
      "RMSE Value for AD986 is :  0.028066080636178325\n",
      "RMSE Value for AD987 is :  0.03618741320116037\n",
      "RMSE Value for AD988 is :  0.024005414353693855\n",
      "RMSE Value for AD989 is :  0.1153704087097337\n",
      "RMSE Value for AD990 is :  0.13770407426342834\n",
      "RMSE Value for AD991 is :  0.15191640725214584\n",
      "RMSE Value for AD992 is :  0.12552207541595428\n",
      "RMSE Value for AD993 is :  0.056490745613613\n",
      "RMSE Value for AD994 is :  0.03821774634241115\n",
      "RMSE Value for AD995 is :  0.1580074066758801\n",
      "RMSE Value for AD996 is :  0.15394674039339162\n",
      "RMSE Value for AD997 is :  0.03821774634241115\n",
      "RMSE Value for AD998 is :  0.15191640725214584\n",
      "RMSE Value for AD999 is :  0.109279409285993\n",
      "RMSE Value for AD1000 is :  0.06258174503735603\n",
      "RMSE Value for AD1001 is :  0.050399746189887074\n",
      "RMSE Value for AD1002 is :  0.09912774357977261\n",
      "RMSE Value for AD1003 is :  0.16206807295837017\n",
      "RMSE Value for AD1004 is :  0.06461207817859838\n",
      "RMSE Value for AD1005 is :  0.07273341174358094\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD1006 is :  0.16206807295837017\n",
      "RMSE Value for AD1007 is :  0.12755240855720162\n",
      "RMSE Value for AD1008 is :  0.024005414353693855\n",
      "RMSE Value for AD1009 is :  0.10318840986225974\n",
      "RMSE Value for AD1010 is :  0.05446041247237554\n",
      "RMSE Value for AD1011 is :  0.03821774634241115\n",
      "RMSE Value for AD1012 is :  0.16206807295837017\n",
      "RMSE Value for AD1013 is :  0.06258174503735603\n",
      "RMSE Value for AD1014 is :  0.07070307860233349\n",
      "RMSE Value for AD1015 is :  0.14785574096965393\n",
      "RMSE Value for AD1016 is :  0.12958274169844974\n",
      "RMSE Value for AD1017 is :  0.09709741043852471\n",
      "RMSE Value for AD1018 is :  0.07679407802607474\n",
      "RMSE Value for AD1019 is :  0.04024807948365838\n",
      "RMSE Value for AD1020 is :  0.1417647405459238\n",
      "RMSE Value for AD1021 is :  0.06867274546108915\n",
      "RMSE Value for AD1022 is :  0.03618741320116037\n",
      "RMSE Value for AD1023 is :  0.06867274546108915\n",
      "RMSE Value for AD1024 is :  0.133643407980939\n",
      "RMSE Value for AD1025 is :  0.05243007933113142\n",
      "RMSE Value for AD1026 is :  0.12349174227471205\n",
      "RMSE Value for AD1027 is :  0.11943107499222239\n",
      "RMSE Value for AD1028 is :  0.133643407980939\n",
      "RMSE Value for AD1029 is :  0.14379507368716515\n",
      "RMSE Value for AD1030 is :  0.07679407802607474\n",
      "RMSE Value for AD1031 is :  0.04227841262490628\n",
      "RMSE Value for AD1032 is :  0.11943107499222239\n",
      "RMSE Value for AD1033 is :  0.12146140913346959\n",
      "RMSE Value for AD1034 is :  0.14379507368716515\n",
      "RMSE Value for AD1035 is :  0.10724907614475243\n",
      "RMSE Value for AD1036 is :  0.06258174503735603\n",
      "RMSE Value for AD1037 is :  0.08491541059105168\n",
      "RMSE Value for AD1038 is :  0.12552207541595428\n",
      "RMSE Value for AD1039 is :  0.10724907614475243\n",
      "RMSE Value for AD1040 is :  0.11943107499222239\n",
      "RMSE Value for AD1041 is :  0.05243007933113142\n",
      "RMSE Value for AD1042 is :  0.09709741043852471\n",
      "RMSE Value for AD1043 is :  0.05446041247237554\n",
      "RMSE Value for AD1044 is :  0.07070307860233349\n",
      "RMSE Value for AD1045 is :  0.08491541059105168\n",
      "RMSE Value for AD1046 is :  0.10724907614475243\n",
      "RMSE Value for AD1047 is :  0.07679407802607474\n",
      "RMSE Value for AD1048 is :  0.09709741043852471\n",
      "RMSE Value for AD1049 is :  0.16206807295837017\n",
      "RMSE Value for AD1050 is :  0.109279409285993\n",
      "RMSE Value for AD1051 is :  0.03212674691867812\n",
      "RMSE Value for AD1052 is :  0.15394674039339162\n",
      "RMSE Value for AD1053 is :  0.12349174227471205\n",
      "RMSE Value for AD1054 is :  0.0443087467661516\n",
      "RMSE Value for AD1055 is :  0.12349174227471205\n",
      "RMSE Value for AD1056 is :  0.021975081212446845\n",
      "RMSE Value for AD1057 is :  0.15191640725214584\n",
      "RMSE Value for AD1058 is :  0.04227841262490628\n",
      "RMSE Value for AD1059 is :  0.09303674315602972\n",
      "RMSE Value for AD1060 is :  0.05446041247237554\n",
      "RMSE Value for AD1061 is :  0.10318840986225974\n",
      "RMSE Value for AD1062 is :  0.03212674691867812\n",
      "RMSE Value for AD1063 is :  0.07882441116731154\n",
      "RMSE Value for AD1064 is :  0.05243007933113142\n",
      "RMSE Value for AD1065 is :  0.1417647405459238\n",
      "RMSE Value for AD1066 is :  0.1316130748396901\n",
      "RMSE Value for AD1067 is :  0.06461207817859838\n",
      "RMSE Value for AD1068 is :  0.06461207817859838\n",
      "RMSE Value for AD1069 is :  0.06461207817859838\n",
      "RMSE Value for AD1070 is :  0.16206807295837017\n",
      "RMSE Value for AD1071 is :  0.07882441116731154\n",
      "RMSE Value for AD1072 is :  0.08491541059105168\n",
      "RMSE Value for AD1073 is :  0.034157080059919354\n",
      "RMSE Value for AD1074 is :  0.07070307860233349\n",
      "RMSE Value for AD1075 is :  0.12755240855720162\n",
      "RMSE Value for AD1076 is :  0.12349174227471205\n",
      "RMSE Value for AD1077 is :  0.13770407426342834\n",
      "RMSE Value for AD1078 is :  0.08085474430855588\n",
      "RMSE Value for AD1079 is :  0.1458254078284149\n",
      "RMSE Value for AD1080 is :  0.09709741043852471\n",
      "RMSE Value for AD1081 is :  0.056490745613613\n",
      "RMSE Value for AD1082 is :  0.03821774634241115\n",
      "RMSE Value for AD1083 is :  0.09303674315602972\n",
      "RMSE Value for AD1084 is :  0.133643407980939\n",
      "RMSE Value for AD1085 is :  0.07882441116731154\n",
      "RMSE Value for AD1086 is :  0.1153704087097337\n",
      "RMSE Value for AD1087 is :  0.13770407426342834\n",
      "RMSE Value for AD1088 is :  0.028066080636178325\n",
      "RMSE Value for AD1089 is :  0.09506707729727637\n",
      "RMSE Value for AD1090 is :  0.13567374112218322\n",
      "RMSE Value for AD1091 is :  0.06055141189610924\n",
      "RMSE Value for AD1092 is :  0.12552207541595428\n",
      "RMSE Value for AD1093 is :  0.09100641001478782\n",
      "RMSE Value for AD1094 is :  0.07273341174358094\n",
      "RMSE Value for AD1095 is :  0.07882441116731154\n",
      "RMSE Value for AD1096 is :  0.03009641377742933\n",
      "RMSE Value for AD1097 is :  0.08694574373229758\n",
      "RMSE Value for AD1098 is :  0.14785574096965393\n",
      "RMSE Value for AD1099 is :  0.14785574096965393\n",
      "RMSE Value for AD1100 is :  0.1153704087097337\n",
      "RMSE Value for AD1101 is :  0.04024807948365838\n",
      "RMSE Value for AD1102 is :  0.109279409285993\n",
      "RMSE Value for AD1103 is :  0.12958274169844974\n",
      "RMSE Value for AD1104 is :  0.14785574096965393\n",
      "RMSE Value for AD1105 is :  0.08897607687354236\n",
      "RMSE Value for AD1106 is :  0.03009641377742933\n",
      "RMSE Value for AD1107 is :  0.06664241131984405\n",
      "RMSE Value for AD1108 is :  0.05852107875485535\n",
      "RMSE Value for AD1109 is :  0.09912774357977261\n",
      "RMSE Value for AD1110 is :  0.03821774634241115\n",
      "RMSE Value for AD1111 is :  0.0443087467661516\n",
      "RMSE Value for AD1112 is :  0.14379507368716515\n",
      "RMSE Value for AD1113 is :  0.14988607411090227\n",
      "RMSE Value for AD1114 is :  0.07679407802607474\n",
      "RMSE Value for AD1115 is :  0.1417647405459238\n",
      "RMSE Value for AD1116 is :  0.08085474430855588\n",
      "RMSE Value for AD1117 is :  0.034157080059919354\n",
      "RMSE Value for AD1118 is :  0.07273341174358094\n",
      "RMSE Value for AD1119 is :  0.07070307860233349\n",
      "RMSE Value for AD1120 is :  0.09709741043852471\n",
      "RMSE Value for AD1121 is :  0.1580074066758801\n",
      "RMSE Value for AD1122 is :  0.1133400755684878\n",
      "RMSE Value for AD1123 is :  0.04227841262490628\n",
      "RMSE Value for AD1124 is :  0.1174007418509776\n",
      "RMSE Value for AD1125 is :  0.12958274169844974\n",
      "RMSE Value for AD1126 is :  0.05243007933113142\n",
      "RMSE Value for AD1127 is :  0.08085474430855588\n",
      "RMSE Value for AD1128 is :  0.12349174227471205\n",
      "RMSE Value for AD1129 is :  0.048369413048634735\n",
      "RMSE Value for AD1130 is :  0.10521874300350809\n",
      "RMSE Value for AD1131 is :  0.10115807672101096\n",
      "RMSE Value for AD1132 is :  0.08491541059105168\n",
      "RMSE Value for AD1133 is :  0.16206807295837017\n",
      "RMSE Value for AD1134 is :  0.09709741043852471\n",
      "RMSE Value for AD1135 is :  0.1559770735346392\n",
      "RMSE Value for AD1136 is :  0.048369413048634735\n",
      "RMSE Value for AD1137 is :  0.16206807295837017\n",
      "RMSE Value for AD1138 is :  0.12958274169844974\n",
      "RMSE Value for AD1139 is :  0.1174007418509776\n",
      "RMSE Value for AD1140 is :  0.07679407802607474\n",
      "RMSE Value for AD1141 is :  0.06258174503735603\n",
      "RMSE Value for AD1142 is :  0.03821774634241115\n",
      "RMSE Value for AD1143 is :  0.07273341174358094\n",
      "RMSE Value for AD1144 is :  0.07679407802607474\n",
      "RMSE Value for AD1145 is :  0.021975081212446845\n",
      "RMSE Value for AD1146 is :  0.09303674315602972\n",
      "RMSE Value for AD1147 is :  0.07273341174358094\n",
      "RMSE Value for AD1148 is :  0.09506707729727637\n",
      "RMSE Value for AD1149 is :  0.09506707729727637\n",
      "RMSE Value for AD1150 is :  0.1559770735346392\n",
      "RMSE Value for AD1151 is :  0.07273341174358094\n",
      "RMSE Value for AD1152 is :  0.12146140913346959\n",
      "RMSE Value for AD1153 is :  0.1458254078284149\n",
      "RMSE Value for AD1154 is :  0.12958274169844974\n",
      "RMSE Value for AD1155 is :  0.050399746189887074\n",
      "RMSE Value for AD1156 is :  0.11130974242723912\n",
      "RMSE Value for AD1157 is :  0.08085474430855588\n",
      "RMSE Value for AD1158 is :  0.1559770735346392\n",
      "RMSE Value for AD1159 is :  0.11130974242723912\n",
      "RMSE Value for AD1160 is :  0.14379507368716515\n",
      "RMSE Value for AD1161 is :  0.08694574373229758\n",
      "RMSE Value for AD1162 is :  0.1559770735346392\n",
      "RMSE Value for AD1163 is :  0.16206807295837017\n",
      "RMSE Value for AD1164 is :  0.056490745613613\n",
      "RMSE Value for AD1165 is :  0.1458254078284149\n",
      "RMSE Value for AD1166 is :  0.06867274546108915\n",
      "RMSE Value for AD1167 is :  0.07070307860233349\n",
      "RMSE Value for AD1168 is :  0.08288507744980356\n",
      "RMSE Value for AD1169 is :  0.09709741043852471\n",
      "RMSE Value for AD1170 is :  0.09303674315602972\n",
      "RMSE Value for AD1171 is :  0.034157080059919354\n",
      "RMSE Value for AD1172 is :  0.04024807948365838\n",
      "RMSE Value for AD1173 is :  0.06258174503735603\n",
      "RMSE Value for AD1174 is :  0.04024807948365838\n",
      "RMSE Value for AD1175 is :  0.056490745613613\n",
      "RMSE Value for AD1176 is :  0.10115807672101096\n",
      "RMSE Value for AD1177 is :  0.1580074066758801\n",
      "RMSE Value for AD1178 is :  0.07882441116731154\n",
      "RMSE Value for AD1179 is :  0.05446041247237554\n",
      "RMSE Value for AD1180 is :  0.1153704087097337\n",
      "RMSE Value for AD1181 is :  0.09709741043852471\n",
      "RMSE Value for AD1182 is :  0.13567374112218322\n",
      "RMSE Value for AD1183 is :  0.160037739817127\n",
      "RMSE Value for AD1184 is :  0.09506707729727637\n",
      "RMSE Value for AD1185 is :  0.13770407426342834\n",
      "RMSE Value for AD1186 is :  0.056490745613613\n",
      "RMSE Value for AD1187 is :  0.1458254078284149\n",
      "RMSE Value for AD1188 is :  0.1153704087097337\n",
      "RMSE Value for AD1189 is :  0.03009641377742933\n",
      "RMSE Value for AD1190 is :  0.07070307860233349\n",
      "RMSE Value for AD1191 is :  0.1174007418509776\n",
      "RMSE Value for AD1192 is :  0.109279409285993\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD1193 is :  0.06258174503735603\n",
      "RMSE Value for AD1194 is :  0.08897607687354236\n",
      "RMSE Value for AD1195 is :  0.024005414353693855\n",
      "RMSE Value for AD1196 is :  0.08694574373229758\n",
      "RMSE Value for AD1197 is :  0.028066080636178325\n",
      "RMSE Value for AD1198 is :  0.14988607411090227\n",
      "RMSE Value for AD1199 is :  0.14988607411090227\n",
      "RMSE Value for AD1200 is :  0.12958274169844974\n",
      "RMSE Value for AD1201 is :  0.10115807672101096\n",
      "RMSE Value for AD1202 is :  0.07070307860233349\n",
      "RMSE Value for AD1203 is :  0.06867274546108915\n",
      "RMSE Value for AD1204 is :  0.11130974242723912\n",
      "RMSE Value for AD1205 is :  0.05243007933113142\n",
      "RMSE Value for AD1206 is :  0.09100641001478782\n",
      "RMSE Value for AD1207 is :  0.14379507368716515\n",
      "RMSE Value for AD1208 is :  0.16206807295837017\n",
      "RMSE Value for AD1209 is :  0.09506707729727637\n",
      "RMSE Value for AD1210 is :  0.16206807295837017\n",
      "RMSE Value for AD1211 is :  0.021975081212446845\n",
      "RMSE Value for AD1212 is :  0.08694574373229758\n",
      "RMSE Value for AD1213 is :  0.04024807948365838\n",
      "RMSE Value for AD1214 is :  0.08085474430855588\n",
      "RMSE Value for AD1215 is :  0.10724907614475243\n",
      "RMSE Value for AD1216 is :  0.08491541059105168\n",
      "RMSE Value for AD1217 is :  0.03618741320116037\n",
      "RMSE Value for AD1218 is :  0.04227841262490628\n",
      "RMSE Value for AD1219 is :  0.10724907614475243\n",
      "RMSE Value for AD1220 is :  0.09506707729727637\n",
      "RMSE Value for AD1221 is :  0.12349174227471205\n",
      "RMSE Value for AD1222 is :  0.04024807948365838\n",
      "RMSE Value for AD1223 is :  0.13973440740467602\n",
      "RMSE Value for AD1224 is :  0.026035747494939976\n",
      "RMSE Value for AD1225 is :  0.1458254078284149\n",
      "RMSE Value for AD1226 is :  0.109279409285993\n",
      "RMSE Value for AD1227 is :  0.05852107875485535\n",
      "RMSE Value for AD1228 is :  0.10724907614475243\n",
      "RMSE Value for AD1229 is :  0.07679407802607474\n",
      "RMSE Value for AD1230 is :  0.034157080059919354\n",
      "RMSE Value for AD1231 is :  0.1174007418509776\n",
      "RMSE Value for AD1232 is :  0.12146140913346959\n",
      "RMSE Value for AD1233 is :  0.07882441116731154\n",
      "RMSE Value for AD1234 is :  0.07476374488482307\n",
      "RMSE Value for AD1235 is :  0.048369413048634735\n",
      "RMSE Value for AD1236 is :  0.09506707729727637\n",
      "RMSE Value for AD1237 is :  0.04024807948365838\n",
      "RMSE Value for AD1238 is :  0.12958274169844974\n",
      "RMSE Value for AD1239 is :  0.11130974242723912\n",
      "RMSE Value for AD1240 is :  0.034157080059919354\n",
      "RMSE Value for AD1241 is :  0.1316130748396901\n",
      "RMSE Value for AD1242 is :  0.10521874300350809\n",
      "RMSE Value for AD1243 is :  0.14379507368716515\n",
      "RMSE Value for AD1244 is :  0.048369413048634735\n",
      "RMSE Value for AD1245 is :  0.10318840986225974\n",
      "RMSE Value for AD1246 is :  0.14988607411090227\n",
      "RMSE Value for AD1247 is :  0.03212674691867812\n",
      "RMSE Value for AD1248 is :  0.12755240855720162\n",
      "RMSE Value for AD1249 is :  0.050399746189887074\n",
      "RMSE Value for AD1250 is :  0.021975081212446845\n",
      "RMSE Value for AD1251 is :  0.034157080059919354\n",
      "RMSE Value for AD1252 is :  0.10724907614475243\n",
      "RMSE Value for AD1253 is :  0.1133400755684878\n",
      "RMSE Value for AD1254 is :  0.028066080636178325\n",
      "RMSE Value for AD1255 is :  0.06664241131984405\n",
      "RMSE Value for AD1256 is :  0.10521874300350809\n",
      "RMSE Value for AD1257 is :  0.1316130748396901\n",
      "RMSE Value for AD1258 is :  0.08085474430855588\n",
      "RMSE Value for AD1259 is :  0.03821774634241115\n",
      "RMSE Value for AD1260 is :  0.1580074066758801\n",
      "RMSE Value for AD1261 is :  0.056490745613613\n",
      "RMSE Value for AD1262 is :  0.1559770735346392\n",
      "RMSE Value for AD1263 is :  0.07882441116731154\n",
      "RMSE Value for AD1264 is :  0.10521874300350809\n",
      "RMSE Value for AD1265 is :  0.050399746189887074\n",
      "RMSE Value for AD1266 is :  0.1580074066758801\n",
      "RMSE Value for AD1267 is :  0.06664241131984405\n",
      "RMSE Value for AD1268 is :  0.03212674691867812\n",
      "RMSE Value for AD1269 is :  0.14379507368716515\n",
      "RMSE Value for AD1270 is :  0.04227841262490628\n",
      "RMSE Value for AD1271 is :  0.026035747494939976\n",
      "RMSE Value for AD1272 is :  0.109279409285993\n",
      "RMSE Value for AD1273 is :  0.056490745613613\n",
      "RMSE Value for AD1274 is :  0.109279409285993\n",
      "RMSE Value for AD1275 is :  0.1174007418509776\n",
      "RMSE Value for AD1276 is :  0.13567374112218322\n",
      "RMSE Value for AD1277 is :  0.06461207817859838\n",
      "RMSE Value for AD1278 is :  0.12146140913346959\n",
      "RMSE Value for AD1279 is :  0.15394674039339162\n",
      "RMSE Value for AD1280 is :  0.1417647405459238\n",
      "RMSE Value for AD1281 is :  0.07882441116731154\n",
      "RMSE Value for AD1282 is :  0.04024807948365838\n",
      "RMSE Value for AD1283 is :  0.10318840986225974\n",
      "RMSE Value for AD1284 is :  0.07273341174358094\n",
      "RMSE Value for AD1285 is :  0.08491541059105168\n",
      "RMSE Value for AD1286 is :  0.160037739817127\n",
      "RMSE Value for AD1287 is :  0.034157080059919354\n",
      "RMSE Value for AD1288 is :  0.12552207541595428\n",
      "RMSE Value for AD1289 is :  0.09912774357977261\n",
      "RMSE Value for AD1290 is :  0.133643407980939\n",
      "RMSE Value for AD1291 is :  0.09506707729727637\n",
      "RMSE Value for AD1292 is :  0.14988607411090227\n",
      "RMSE Value for AD1293 is :  0.05446041247237554\n",
      "RMSE Value for AD1294 is :  0.07476374488482307\n",
      "RMSE Value for AD1295 is :  0.06461207817859838\n",
      "RMSE Value for AD1296 is :  0.06867274546108915\n",
      "RMSE Value for AD1297 is :  0.06867274546108915\n",
      "RMSE Value for AD1298 is :  0.14988607411090227\n",
      "RMSE Value for AD1299 is :  0.09100641001478782\n",
      "RMSE Value for AD1300 is :  0.10724907614475243\n",
      "RMSE Value for AD1301 is :  0.109279409285993\n",
      "RMSE Value for AD1302 is :  0.10724907614475243\n",
      "RMSE Value for AD1303 is :  0.05852107875485535\n",
      "RMSE Value for AD1304 is :  0.09100641001478782\n",
      "RMSE Value for AD1305 is :  0.11130974242723912\n",
      "RMSE Value for AD1306 is :  0.1417647405459238\n",
      "RMSE Value for AD1307 is :  0.1133400755684878\n",
      "RMSE Value for AD1308 is :  0.07070307860233349\n",
      "RMSE Value for AD1309 is :  0.1316130748396901\n",
      "RMSE Value for AD1310 is :  0.08897607687354236\n",
      "RMSE Value for AD1311 is :  0.07882441116731154\n",
      "RMSE Value for AD1312 is :  0.07070307860233349\n",
      "RMSE Value for AD1313 is :  0.1174007418509776\n",
      "RMSE Value for AD1314 is :  0.034157080059919354\n",
      "RMSE Value for AD1315 is :  0.07882441116731154\n",
      "RMSE Value for AD1316 is :  0.06258174503735603\n",
      "RMSE Value for AD1317 is :  0.08288507744980356\n",
      "RMSE Value for AD1318 is :  0.04024807948365838\n",
      "RMSE Value for AD1319 is :  0.10115807672101096\n",
      "RMSE Value for AD1320 is :  0.14988607411090227\n",
      "RMSE Value for AD1321 is :  0.048369413048634735\n",
      "RMSE Value for AD1322 is :  0.12146140913346959\n",
      "RMSE Value for AD1323 is :  0.08085474430855588\n",
      "RMSE Value for AD1324 is :  0.08085474430855588\n",
      "RMSE Value for AD1325 is :  0.0443087467661516\n",
      "RMSE Value for AD1326 is :  0.12958274169844974\n",
      "RMSE Value for AD1327 is :  0.024005414353693855\n",
      "RMSE Value for AD1328 is :  0.04227841262490628\n",
      "RMSE Value for AD1329 is :  0.07070307860233349\n",
      "RMSE Value for AD1330 is :  0.15394674039339162\n",
      "RMSE Value for AD1331 is :  0.08897607687354236\n",
      "RMSE Value for AD1332 is :  0.05243007933113142\n",
      "RMSE Value for AD1333 is :  0.03821774634241115\n",
      "RMSE Value for AD1334 is :  0.12146140913346959\n",
      "RMSE Value for AD1335 is :  0.08288507744980356\n",
      "RMSE Value for AD1336 is :  0.09709741043852471\n",
      "RMSE Value for AD1337 is :  0.050399746189887074\n",
      "RMSE Value for AD1338 is :  0.034157080059919354\n",
      "RMSE Value for AD1339 is :  0.09303674315602972\n",
      "RMSE Value for AD1340 is :  0.028066080636178325\n",
      "RMSE Value for AD1341 is :  0.07070307860233349\n",
      "RMSE Value for AD1342 is :  0.06055141189610924\n",
      "RMSE Value for AD1343 is :  0.06055141189610924\n",
      "RMSE Value for AD1344 is :  0.08694574373229758\n",
      "RMSE Value for AD1345 is :  0.034157080059919354\n",
      "RMSE Value for AD1346 is :  0.05852107875485535\n",
      "RMSE Value for AD1347 is :  0.12755240855720162\n",
      "RMSE Value for AD1348 is :  0.06055141189610924\n",
      "RMSE Value for AD1349 is :  0.160037739817127\n",
      "RMSE Value for AD1350 is :  0.05852107875485535\n",
      "RMSE Value for AD1351 is :  0.160037739817127\n",
      "RMSE Value for AD1352 is :  0.13973440740467602\n",
      "RMSE Value for AD1353 is :  0.056490745613613\n",
      "RMSE Value for AD1354 is :  0.06461207817859838\n",
      "RMSE Value for AD1355 is :  0.1153704087097337\n",
      "RMSE Value for AD1356 is :  0.13770407426342834\n",
      "RMSE Value for AD1357 is :  0.09100641001478782\n",
      "RMSE Value for AD1358 is :  0.04024807948365838\n",
      "RMSE Value for AD1359 is :  0.10521874300350809\n",
      "RMSE Value for AD1360 is :  0.12958274169844974\n",
      "RMSE Value for AD1361 is :  0.07070307860233349\n",
      "RMSE Value for AD1362 is :  0.1174007418509776\n",
      "RMSE Value for AD1363 is :  0.07273341174358094\n",
      "RMSE Value for AD1364 is :  0.050399746189887074\n",
      "RMSE Value for AD1365 is :  0.13567374112218322\n",
      "RMSE Value for AD1366 is :  0.05243007933113142\n",
      "RMSE Value for AD1367 is :  0.1580074066758801\n",
      "RMSE Value for AD1368 is :  0.12958274169844974\n",
      "RMSE Value for AD1369 is :  0.06258174503735603\n",
      "RMSE Value for AD1370 is :  0.1559770735346392\n",
      "RMSE Value for AD1371 is :  0.028066080636178325\n",
      "RMSE Value for AD1372 is :  0.0443087467661516\n",
      "RMSE Value for AD1373 is :  0.12146140913346959\n",
      "RMSE Value for AD1374 is :  0.07070307860233349\n",
      "RMSE Value for AD1375 is :  0.12146140913346959\n",
      "RMSE Value for AD1376 is :  0.13567374112218322\n",
      "RMSE Value for AD1377 is :  0.14785574096965393\n",
      "RMSE Value for AD1378 is :  0.03618741320116037\n",
      "RMSE Value for AD1379 is :  0.12755240855720162\n",
      "RMSE Value for AD1380 is :  0.08491541059105168\n",
      "RMSE Value for AD1381 is :  0.050399746189887074\n",
      "RMSE Value for AD1382 is :  0.16206807295837017\n",
      "RMSE Value for AD1383 is :  0.133643407980939\n",
      "RMSE Value for AD1384 is :  0.14988607411090227\n",
      "RMSE Value for AD1385 is :  0.026035747494939976\n",
      "RMSE Value for AD1386 is :  0.11130974242723912\n",
      "RMSE Value for AD1387 is :  0.021975081212446845\n",
      "RMSE Value for AD1388 is :  0.06664241131984405\n",
      "RMSE Value for AD1389 is :  0.160037739817127\n",
      "RMSE Value for AD1390 is :  0.1133400755684878\n",
      "RMSE Value for AD1391 is :  0.14379507368716515\n",
      "RMSE Value for AD1392 is :  0.1580074066758801\n",
      "RMSE Value for AD1393 is :  0.0443087467661516\n",
      "RMSE Value for AD1394 is :  0.04633907990739461\n",
      "RMSE Value for AD1395 is :  0.05852107875485535\n",
      "RMSE Value for AD1396 is :  0.056490745613613\n",
      "RMSE Value for AD1397 is :  0.133643407980939\n",
      "RMSE Value for AD1398 is :  0.1174007418509776\n",
      "RMSE Value for AD1399 is :  0.021975081212446845\n",
      "RMSE Value for AD1400 is :  0.03618741320116037\n",
      "RMSE Value for AD1401 is :  0.050399746189887074\n",
      "RMSE Value for AD1402 is :  0.03009641377742933\n",
      "RMSE Value for AD1403 is :  0.08491541059105168\n",
      "RMSE Value for AD1404 is :  0.08897607687354236\n",
      "RMSE Value for AD1405 is :  0.06461207817859838\n",
      "RMSE Value for AD1406 is :  0.09506707729727637\n",
      "RMSE Value for AD1407 is :  0.10724907614475243\n",
      "RMSE Value for AD1408 is :  0.07070307860233349\n",
      "RMSE Value for AD1409 is :  0.1580074066758801\n",
      "RMSE Value for AD1410 is :  0.03009641377742933\n",
      "RMSE Value for AD1411 is :  0.08694574373229758\n",
      "RMSE Value for AD1412 is :  0.109279409285993\n",
      "RMSE Value for AD1413 is :  0.13770407426342834\n",
      "RMSE Value for AD1414 is :  0.04024807948365838\n",
      "RMSE Value for AD1415 is :  0.04227841262490628\n",
      "RMSE Value for AD1416 is :  0.06461207817859838\n",
      "RMSE Value for AD1417 is :  0.09709741043852471\n",
      "RMSE Value for AD1418 is :  0.1133400755684878\n",
      "RMSE Value for AD1419 is :  0.12349174227471205\n",
      "RMSE Value for AD1420 is :  0.08694574373229758\n",
      "RMSE Value for AD1421 is :  0.08085474430855588\n",
      "RMSE Value for AD1422 is :  0.1174007418509776\n",
      "RMSE Value for AD1423 is :  0.10318840986225974\n",
      "RMSE Value for AD1424 is :  0.13567374112218322\n",
      "RMSE Value for AD1425 is :  0.07070307860233349\n",
      "RMSE Value for AD1426 is :  0.12755240855720162\n",
      "RMSE Value for AD1427 is :  0.028066080636178325\n",
      "RMSE Value for AD1428 is :  0.12552207541595428\n",
      "RMSE Value for AD1429 is :  0.08288507744980356\n",
      "RMSE Value for AD1430 is :  0.10115807672101096\n",
      "RMSE Value for AD1431 is :  0.14379507368716515\n",
      "RMSE Value for AD1432 is :  0.04024807948365838\n",
      "RMSE Value for AD1433 is :  0.028066080636178325\n",
      "RMSE Value for AD1434 is :  0.14379507368716515\n",
      "RMSE Value for AD1435 is :  0.03009641377742933\n",
      "RMSE Value for AD1436 is :  0.14988607411090227\n",
      "RMSE Value for AD1437 is :  0.06055141189610924\n",
      "RMSE Value for AD1438 is :  0.024005414353693855\n",
      "RMSE Value for AD1439 is :  0.06461207817859838\n",
      "RMSE Value for AD1440 is :  0.1316130748396901\n",
      "RMSE Value for AD1441 is :  0.08694574373229758\n",
      "RMSE Value for AD1442 is :  0.1133400755684878\n",
      "RMSE Value for AD1443 is :  0.1174007418509776\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD1444 is :  0.07679407802607474\n",
      "RMSE Value for AD1445 is :  0.1458254078284149\n",
      "RMSE Value for AD1446 is :  0.10521874300350809\n",
      "RMSE Value for AD1447 is :  0.07679407802607474\n",
      "RMSE Value for AD1448 is :  0.1174007418509776\n",
      "RMSE Value for AD1449 is :  0.10521874300350809\n",
      "RMSE Value for AD1450 is :  0.09709741043852471\n",
      "RMSE Value for AD1451 is :  0.133643407980939\n",
      "RMSE Value for AD1452 is :  0.04024807948365838\n",
      "RMSE Value for AD1453 is :  0.1316130748396901\n",
      "RMSE Value for AD1454 is :  0.07882441116731154\n",
      "RMSE Value for AD1455 is :  0.07070307860233349\n",
      "RMSE Value for AD1456 is :  0.10724907614475243\n",
      "RMSE Value for AD1457 is :  0.09912774357977261\n",
      "RMSE Value for AD1458 is :  0.09100641001478782\n",
      "RMSE Value for AD1459 is :  0.03821774634241115\n",
      "RMSE Value for AD1460 is :  0.12552207541595428\n",
      "RMSE Value for AD1461 is :  0.15394674039339162\n",
      "RMSE Value for AD1462 is :  0.08694574373229758\n",
      "RMSE Value for AD1463 is :  0.10318840986225974\n",
      "RMSE Value for AD1464 is :  0.14988607411090227\n",
      "RMSE Value for AD1465 is :  0.03212674691867812\n",
      "RMSE Value for AD1466 is :  0.0443087467661516\n",
      "RMSE Value for AD1467 is :  0.024005414353693855\n",
      "RMSE Value for AD1468 is :  0.08085474430855588\n",
      "RMSE Value for AD1469 is :  0.10115807672101096\n",
      "RMSE Value for AD1470 is :  0.05852107875485535\n",
      "RMSE Value for AD1471 is :  0.09100641001478782\n",
      "RMSE Value for AD1472 is :  0.03212674691867812\n",
      "RMSE Value for AD1473 is :  0.1417647405459238\n",
      "RMSE Value for AD1474 is :  0.056490745613613\n",
      "RMSE Value for AD1475 is :  0.07070307860233349\n",
      "RMSE Value for AD1476 is :  0.05446041247237554\n",
      "RMSE Value for AD1477 is :  0.13770407426342834\n",
      "RMSE Value for AD1478 is :  0.11130974242723912\n",
      "RMSE Value for AD1479 is :  0.10318840986225974\n",
      "RMSE Value for AD1480 is :  0.1417647405459238\n",
      "RMSE Value for AD1481 is :  0.06461207817859838\n",
      "RMSE Value for AD1482 is :  0.1316130748396901\n",
      "RMSE Value for AD1483 is :  0.050399746189887074\n",
      "RMSE Value for AD1484 is :  0.12146140913346959\n",
      "RMSE Value for AD1485 is :  0.021975081212446845\n",
      "RMSE Value for AD1486 is :  0.1133400755684878\n",
      "RMSE Value for AD1487 is :  0.08897607687354236\n",
      "RMSE Value for AD1488 is :  0.07476374488482307\n",
      "RMSE Value for AD1489 is :  0.03618741320116037\n",
      "RMSE Value for AD1490 is :  0.021975081212446845\n",
      "RMSE Value for AD1491 is :  0.03212674691867812\n",
      "RMSE Value for AD1492 is :  0.09709741043852471\n",
      "RMSE Value for AD1493 is :  0.1580074066758801\n",
      "RMSE Value for AD1494 is :  0.06664241131984405\n",
      "RMSE Value for AD1495 is :  0.07679407802607474\n",
      "RMSE Value for AD1496 is :  0.11943107499222239\n",
      "RMSE Value for AD1497 is :  0.08085474430855588\n",
      "RMSE Value for AD1498 is :  0.06258174503735603\n",
      "RMSE Value for AD1499 is :  0.05446041247237554\n",
      "RMSE Value for AD1500 is :  0.06461207817859838\n",
      "RMSE Value for AD1501 is :  0.14379507368716515\n",
      "RMSE Value for AD1502 is :  0.05243007933113142\n",
      "RMSE Value for AD1503 is :  0.1174007418509776\n",
      "RMSE Value for AD1504 is :  0.09709741043852471\n",
      "RMSE Value for AD1505 is :  0.09709741043852471\n",
      "RMSE Value for AD1506 is :  0.10115807672101096\n",
      "RMSE Value for AD1507 is :  0.11130974242723912\n",
      "RMSE Value for AD1508 is :  0.109279409285993\n",
      "RMSE Value for AD1509 is :  0.133643407980939\n",
      "RMSE Value for AD1510 is :  0.034157080059919354\n",
      "RMSE Value for AD1511 is :  0.07476374488482307\n",
      "RMSE Value for AD1512 is :  0.08897607687354236\n",
      "RMSE Value for AD1513 is :  0.14379507368716515\n",
      "RMSE Value for AD1514 is :  0.034157080059919354\n",
      "RMSE Value for AD1515 is :  0.06867274546108915\n",
      "RMSE Value for AD1516 is :  0.11943107499222239\n",
      "RMSE Value for AD1517 is :  0.16206807295837017\n",
      "RMSE Value for AD1518 is :  0.026035747494939976\n",
      "RMSE Value for AD1519 is :  0.109279409285993\n",
      "RMSE Value for AD1520 is :  0.1559770735346392\n",
      "RMSE Value for AD1521 is :  0.1417647405459238\n",
      "RMSE Value for AD1522 is :  0.034157080059919354\n",
      "RMSE Value for AD1523 is :  0.028066080636178325\n",
      "RMSE Value for AD1524 is :  0.1316130748396901\n",
      "RMSE Value for AD1525 is :  0.04633907990739461\n",
      "RMSE Value for AD1526 is :  0.021975081212446845\n",
      "RMSE Value for AD1527 is :  0.03212674691867812\n",
      "RMSE Value for AD1528 is :  0.021975081212446845\n",
      "RMSE Value for AD1529 is :  0.08491541059105168\n",
      "RMSE Value for AD1530 is :  0.15394674039339162\n",
      "RMSE Value for AD1531 is :  0.07070307860233349\n",
      "RMSE Value for AD1532 is :  0.12146140913346959\n",
      "RMSE Value for AD1533 is :  0.15394674039339162\n",
      "RMSE Value for AD1534 is :  0.10115807672101096\n",
      "RMSE Value for AD1535 is :  0.026035747494939976\n",
      "RMSE Value for AD1536 is :  0.15191640725214584\n",
      "RMSE Value for AD1537 is :  0.06055141189610924\n",
      "RMSE Value for AD1538 is :  0.1174007418509776\n",
      "RMSE Value for AD1539 is :  0.05446041247237554\n",
      "RMSE Value for AD1540 is :  0.06867274546108915\n",
      "RMSE Value for AD1541 is :  0.160037739817127\n",
      "RMSE Value for AD1542 is :  0.10115807672101096\n",
      "RMSE Value for AD1543 is :  0.04024807948365838\n",
      "RMSE Value for AD1544 is :  0.028066080636178325\n",
      "RMSE Value for AD1545 is :  0.06867274546108915\n",
      "RMSE Value for AD1546 is :  0.1559770735346392\n",
      "RMSE Value for AD1547 is :  0.13973440740467602\n",
      "RMSE Value for AD1548 is :  0.12755240855720162\n",
      "RMSE Value for AD1549 is :  0.021975081212446845\n",
      "RMSE Value for AD1550 is :  0.160037739817127\n",
      "RMSE Value for AD1551 is :  0.1580074066758801\n",
      "RMSE Value for AD1552 is :  0.05852107875485535\n",
      "RMSE Value for AD1553 is :  0.11943107499222239\n",
      "RMSE Value for AD1554 is :  0.026035747494939976\n",
      "RMSE Value for AD1555 is :  0.13973440740467602\n",
      "RMSE Value for AD1556 is :  0.09100641001478782\n",
      "RMSE Value for AD1557 is :  0.14379507368716515\n",
      "RMSE Value for AD1558 is :  0.050399746189887074\n",
      "RMSE Value for AD1559 is :  0.1580074066758801\n",
      "RMSE Value for AD1560 is :  0.09303674315602972\n",
      "RMSE Value for AD1561 is :  0.024005414353693855\n",
      "RMSE Value for AD1562 is :  0.08694574373229758\n",
      "RMSE Value for AD1563 is :  0.15191640725214584\n",
      "RMSE Value for AD1564 is :  0.09912774357977261\n",
      "RMSE Value for AD1565 is :  0.056490745613613\n",
      "RMSE Value for AD1566 is :  0.15191640725214584\n",
      "RMSE Value for AD1567 is :  0.15394674039339162\n",
      "RMSE Value for AD1568 is :  0.06664241131984405\n",
      "RMSE Value for AD1569 is :  0.12146140913346959\n",
      "RMSE Value for AD1570 is :  0.16206807295837017\n",
      "RMSE Value for AD1571 is :  0.15394674039339162\n",
      "RMSE Value for AD1572 is :  0.16206807295837017\n",
      "RMSE Value for AD1573 is :  0.1458254078284149\n",
      "RMSE Value for AD1574 is :  0.12755240855720162\n",
      "RMSE Value for AD1575 is :  0.1316130748396901\n",
      "RMSE Value for AD1576 is :  0.10724907614475243\n",
      "RMSE Value for AD1577 is :  0.048369413048634735\n",
      "RMSE Value for AD1578 is :  0.1417647405459238\n",
      "RMSE Value for AD1579 is :  0.12146140913346959\n",
      "RMSE Value for AD1580 is :  0.1133400755684878\n",
      "RMSE Value for AD1581 is :  0.06867274546108915\n",
      "RMSE Value for AD1582 is :  0.08897607687354236\n",
      "RMSE Value for AD1583 is :  0.09912774357977261\n",
      "RMSE Value for AD1584 is :  0.11130974242723912\n",
      "RMSE Value for AD1585 is :  0.12146140913346959\n",
      "RMSE Value for AD1586 is :  0.12958274169844974\n",
      "RMSE Value for AD1587 is :  0.03821774634241115\n",
      "RMSE Value for AD1588 is :  0.06867274546108915\n",
      "RMSE Value for AD1589 is :  0.1174007418509776\n",
      "RMSE Value for AD1590 is :  0.07476374488482307\n",
      "RMSE Value for AD1591 is :  0.07679407802607474\n",
      "RMSE Value for AD1592 is :  0.03821774634241115\n",
      "RMSE Value for AD1593 is :  0.1559770735346392\n",
      "RMSE Value for AD1594 is :  0.026035747494939976\n",
      "RMSE Value for AD1595 is :  0.06461207817859838\n",
      "RMSE Value for AD1596 is :  0.1316130748396901\n",
      "RMSE Value for AD1597 is :  0.11943107499222239\n",
      "RMSE Value for AD1598 is :  0.1153704087097337\n",
      "RMSE Value for AD1599 is :  0.05446041247237554\n",
      "RMSE Value for AD1600 is :  0.1153704087097337\n",
      "RMSE Value for AD1601 is :  0.12349174227471205\n",
      "RMSE Value for AD1602 is :  0.07476374488482307\n",
      "RMSE Value for AD1603 is :  0.048369413048634735\n",
      "RMSE Value for AD1604 is :  0.13770407426342834\n",
      "RMSE Value for AD1605 is :  0.06867274546108915\n",
      "RMSE Value for AD1606 is :  0.09709741043852471\n",
      "RMSE Value for AD1607 is :  0.034157080059919354\n",
      "RMSE Value for AD1608 is :  0.021975081212446845\n",
      "RMSE Value for AD1609 is :  0.06258174503735603\n",
      "RMSE Value for AD1610 is :  0.07882441116731154\n",
      "RMSE Value for AD1611 is :  0.06664241131984405\n",
      "RMSE Value for AD1612 is :  0.14988607411090227\n",
      "RMSE Value for AD1613 is :  0.056490745613613\n",
      "RMSE Value for AD1614 is :  0.12755240855720162\n",
      "RMSE Value for AD1615 is :  0.03821774634241115\n",
      "RMSE Value for AD1616 is :  0.09912774357977261\n",
      "RMSE Value for AD1617 is :  0.12552207541595428\n",
      "RMSE Value for AD1618 is :  0.133643407980939\n",
      "RMSE Value for AD1619 is :  0.14379507368716515\n",
      "RMSE Value for AD1620 is :  0.11130974242723912\n",
      "RMSE Value for AD1621 is :  0.07070307860233349\n",
      "RMSE Value for AD1622 is :  0.07882441116731154\n",
      "RMSE Value for AD1623 is :  0.08491541059105168\n",
      "RMSE Value for AD1624 is :  0.1458254078284149\n",
      "RMSE Value for AD1625 is :  0.12755240855720162\n",
      "RMSE Value for AD1626 is :  0.056490745613613\n",
      "RMSE Value for AD1627 is :  0.14785574096965393\n",
      "RMSE Value for AD1628 is :  0.07679407802607474\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD1629 is :  0.034157080059919354\n",
      "RMSE Value for AD1630 is :  0.026035747494939976\n",
      "RMSE Value for AD1631 is :  0.04633907990739461\n",
      "RMSE Value for AD1632 is :  0.04227841262490628\n",
      "RMSE Value for AD1633 is :  0.12349174227471205\n",
      "RMSE Value for AD1634 is :  0.11943107499222239\n",
      "RMSE Value for AD1635 is :  0.12755240855720162\n",
      "RMSE Value for AD1636 is :  0.14988607411090227\n",
      "RMSE Value for AD1637 is :  0.1580074066758801\n",
      "RMSE Value for AD1638 is :  0.07273341174358094\n",
      "RMSE Value for AD1639 is :  0.04633907990739461\n",
      "RMSE Value for AD1640 is :  0.16206807295837017\n",
      "RMSE Value for AD1641 is :  0.03618741320116037\n",
      "RMSE Value for AD1642 is :  0.09506707729727637\n",
      "RMSE Value for AD1643 is :  0.034157080059919354\n",
      "RMSE Value for AD1644 is :  0.04227841262490628\n",
      "RMSE Value for AD1645 is :  0.133643407980939\n",
      "RMSE Value for AD1646 is :  0.048369413048634735\n",
      "RMSE Value for AD1647 is :  0.133643407980939\n",
      "RMSE Value for AD1648 is :  0.034157080059919354\n",
      "RMSE Value for AD1649 is :  0.09303674315602972\n",
      "RMSE Value for AD1650 is :  0.034157080059919354\n",
      "RMSE Value for AD1651 is :  0.10521874300350809\n",
      "RMSE Value for AD1652 is :  0.11943107499222239\n",
      "RMSE Value for AD1653 is :  0.16206807295837017\n",
      "RMSE Value for AD1654 is :  0.024005414353693855\n",
      "RMSE Value for AD1655 is :  0.10521874300350809\n",
      "RMSE Value for AD1656 is :  0.03618741320116037\n",
      "RMSE Value for AD1657 is :  0.14988607411090227\n",
      "RMSE Value for AD1658 is :  0.10115807672101096\n",
      "RMSE Value for AD1659 is :  0.15191640725214584\n",
      "RMSE Value for AD1660 is :  0.11130974242723912\n",
      "RMSE Value for AD1661 is :  0.1316130748396901\n",
      "RMSE Value for AD1662 is :  0.06867274546108915\n",
      "RMSE Value for AD1663 is :  0.07882441116731154\n",
      "RMSE Value for AD1664 is :  0.12755240855720162\n",
      "RMSE Value for AD1665 is :  0.133643407980939\n",
      "RMSE Value for AD1666 is :  0.1580074066758801\n",
      "RMSE Value for AD1667 is :  0.1174007418509776\n",
      "RMSE Value for AD1668 is :  0.133643407980939\n",
      "RMSE Value for AD1669 is :  0.06055141189610924\n",
      "RMSE Value for AD1670 is :  0.10724907614475243\n",
      "RMSE Value for AD1671 is :  0.15191640725214584\n",
      "RMSE Value for AD1672 is :  0.12552207541595428\n",
      "RMSE Value for AD1673 is :  0.08897607687354236\n",
      "RMSE Value for AD1674 is :  0.12958274169844974\n",
      "RMSE Value for AD1675 is :  0.08288507744980356\n",
      "RMSE Value for AD1676 is :  0.15394674039339162\n",
      "RMSE Value for AD1677 is :  0.03821774634241115\n",
      "RMSE Value for AD1678 is :  0.11943107499222239\n",
      "RMSE Value for AD1679 is :  0.14785574096965393\n",
      "RMSE Value for AD1680 is :  0.15394674039339162\n",
      "RMSE Value for AD1681 is :  0.1417647405459238\n",
      "RMSE Value for AD1682 is :  0.12552207541595428\n",
      "RMSE Value for AD1683 is :  0.04633907990739461\n",
      "RMSE Value for AD1684 is :  0.12958274169844974\n",
      "RMSE Value for AD1685 is :  0.1458254078284149\n",
      "RMSE Value for AD1686 is :  0.10521874300350809\n",
      "RMSE Value for AD1687 is :  0.12552207541595428\n",
      "RMSE Value for AD1688 is :  0.13567374112218322\n",
      "RMSE Value for AD1689 is :  0.13973440740467602\n",
      "RMSE Value for AD1690 is :  0.10115807672101096\n",
      "RMSE Value for AD1691 is :  0.09912774357977261\n",
      "RMSE Value for AD1692 is :  0.08085474430855588\n",
      "RMSE Value for AD1693 is :  0.12755240855720162\n",
      "RMSE Value for AD1694 is :  0.06664241131984405\n",
      "RMSE Value for AD1695 is :  0.10724907614475243\n",
      "RMSE Value for AD1696 is :  0.06664241131984405\n",
      "RMSE Value for AD1697 is :  0.04633907990739461\n",
      "RMSE Value for AD1698 is :  0.15191640725214584\n",
      "RMSE Value for AD1699 is :  0.1559770735346392\n",
      "RMSE Value for AD1700 is :  0.14379507368716515\n",
      "RMSE Value for AD1701 is :  0.06664241131984405\n",
      "RMSE Value for AD1702 is :  0.14379507368716515\n",
      "RMSE Value for AD1703 is :  0.1174007418509776\n",
      "RMSE Value for AD1704 is :  0.1559770735346392\n",
      "RMSE Value for AD1705 is :  0.1417647405459238\n",
      "RMSE Value for AD1706 is :  0.1174007418509776\n",
      "RMSE Value for AD1707 is :  0.14785574096965393\n",
      "RMSE Value for AD1708 is :  0.12146140913346959\n",
      "RMSE Value for AD1709 is :  0.09303674315602972\n",
      "RMSE Value for AD1710 is :  0.15394674039339162\n",
      "RMSE Value for AD1711 is :  0.03212674691867812\n",
      "RMSE Value for AD1712 is :  0.03009641377742933\n",
      "RMSE Value for AD1713 is :  0.09303674315602972\n",
      "RMSE Value for AD1714 is :  0.08694574373229758\n",
      "RMSE Value for AD1715 is :  0.12552207541595428\n",
      "RMSE Value for AD1716 is :  0.07273341174358094\n",
      "RMSE Value for AD1717 is :  0.050399746189887074\n",
      "RMSE Value for AD1718 is :  0.14379507368716515\n",
      "RMSE Value for AD1719 is :  0.03618741320116037\n",
      "RMSE Value for AD1720 is :  0.12146140913346959\n",
      "RMSE Value for AD1721 is :  0.1153704087097337\n",
      "RMSE Value for AD1722 is :  0.028066080636178325\n",
      "RMSE Value for AD1723 is :  0.12349174227471205\n",
      "RMSE Value for AD1724 is :  0.06055141189610924\n",
      "RMSE Value for AD1725 is :  0.09303674315602972\n",
      "RMSE Value for AD1726 is :  0.04227841262490628\n",
      "RMSE Value for AD1727 is :  0.09912774357977261\n",
      "RMSE Value for AD1728 is :  0.15191640725214584\n",
      "RMSE Value for AD1729 is :  0.06664241131984405\n",
      "RMSE Value for AD1730 is :  0.14379507368716515\n",
      "RMSE Value for AD1731 is :  0.1174007418509776\n",
      "RMSE Value for AD1732 is :  0.03821774634241115\n",
      "RMSE Value for AD1733 is :  0.09912774357977261\n",
      "RMSE Value for AD1734 is :  0.16206807295837017\n",
      "RMSE Value for AD1735 is :  0.12755240855720162\n",
      "RMSE Value for AD1736 is :  0.07882441116731154\n",
      "RMSE Value for AD1737 is :  0.09303674315602972\n",
      "RMSE Value for AD1738 is :  0.07070307860233349\n",
      "RMSE Value for AD1739 is :  0.12552207541595428\n",
      "RMSE Value for AD1740 is :  0.034157080059919354\n",
      "RMSE Value for AD1741 is :  0.048369413048634735\n",
      "RMSE Value for AD1742 is :  0.14379507368716515\n",
      "RMSE Value for AD1743 is :  0.08085474430855588\n",
      "RMSE Value for AD1744 is :  0.12146140913346959\n",
      "RMSE Value for AD1745 is :  0.10115807672101096\n",
      "RMSE Value for AD1746 is :  0.08897607687354236\n",
      "RMSE Value for AD1747 is :  0.05243007933113142\n",
      "RMSE Value for AD1748 is :  0.08491541059105168\n",
      "RMSE Value for AD1749 is :  0.07273341174358094\n",
      "RMSE Value for AD1750 is :  0.1316130748396901\n",
      "RMSE Value for AD1751 is :  0.11130974242723912\n",
      "RMSE Value for AD1752 is :  0.160037739817127\n",
      "RMSE Value for AD1753 is :  0.12958274169844974\n",
      "RMSE Value for AD1754 is :  0.06055141189610924\n",
      "RMSE Value for AD1755 is :  0.1559770735346392\n",
      "RMSE Value for AD1756 is :  0.04024807948365838\n",
      "RMSE Value for AD1757 is :  0.021975081212446845\n",
      "RMSE Value for AD1758 is :  0.06867274546108915\n",
      "RMSE Value for AD1759 is :  0.12349174227471205\n",
      "RMSE Value for AD1760 is :  0.1153704087097337\n",
      "RMSE Value for AD1761 is :  0.08491541059105168\n",
      "RMSE Value for AD1762 is :  0.12958274169844974\n",
      "RMSE Value for AD1763 is :  0.08491541059105168\n",
      "RMSE Value for AD1764 is :  0.109279409285993\n",
      "RMSE Value for AD1765 is :  0.12958274169844974\n",
      "RMSE Value for AD1766 is :  0.109279409285993\n",
      "RMSE Value for AD1767 is :  0.07679407802607474\n",
      "RMSE Value for AD1768 is :  0.13770407426342834\n",
      "RMSE Value for AD1769 is :  0.06055141189610924\n",
      "RMSE Value for AD1770 is :  0.1580074066758801\n",
      "RMSE Value for AD1771 is :  0.08897607687354236\n",
      "RMSE Value for AD1772 is :  0.14988607411090227\n",
      "RMSE Value for AD1773 is :  0.09912774357977261\n",
      "RMSE Value for AD1774 is :  0.10521874300350809\n",
      "RMSE Value for AD1775 is :  0.1133400755684878\n",
      "RMSE Value for AD1776 is :  0.109279409285993\n",
      "RMSE Value for AD1777 is :  0.06461207817859838\n",
      "RMSE Value for AD1778 is :  0.07273341174358094\n",
      "RMSE Value for AD1779 is :  0.13973440740467602\n",
      "RMSE Value for AD1780 is :  0.034157080059919354\n",
      "RMSE Value for AD1781 is :  0.026035747494939976\n",
      "RMSE Value for AD1782 is :  0.133643407980939\n",
      "RMSE Value for AD1783 is :  0.08694574373229758\n",
      "RMSE Value for AD1784 is :  0.11943107499222239\n",
      "RMSE Value for AD1785 is :  0.13770407426342834\n",
      "RMSE Value for AD1786 is :  0.03009641377742933\n",
      "RMSE Value for AD1787 is :  0.10318840986225974\n",
      "RMSE Value for AD1788 is :  0.06867274546108915\n",
      "RMSE Value for AD1789 is :  0.10115807672101096\n",
      "RMSE Value for AD1790 is :  0.07070307860233349\n",
      "RMSE Value for AD1791 is :  0.1174007418509776\n",
      "RMSE Value for AD1792 is :  0.056490745613613\n",
      "RMSE Value for AD1793 is :  0.08288507744980356\n",
      "RMSE Value for AD1794 is :  0.1153704087097337\n",
      "RMSE Value for AD1795 is :  0.08288507744980356\n",
      "RMSE Value for AD1796 is :  0.06664241131984405\n",
      "RMSE Value for AD1797 is :  0.1458254078284149\n",
      "RMSE Value for AD1798 is :  0.05446041247237554\n",
      "RMSE Value for AD1799 is :  0.11130974242723912\n",
      "RMSE Value for AD1800 is :  0.12958274169844974\n",
      "RMSE Value for AD1801 is :  0.056490745613613\n",
      "RMSE Value for AD1802 is :  0.06055141189610924\n",
      "RMSE Value for AD1803 is :  0.0443087467661516\n",
      "RMSE Value for AD1804 is :  0.13567374112218322\n",
      "RMSE Value for AD1805 is :  0.1316130748396901\n",
      "RMSE Value for AD1806 is :  0.09912774357977261\n",
      "RMSE Value for AD1807 is :  0.04633907990739461\n",
      "RMSE Value for AD1808 is :  0.10318840986225974\n",
      "RMSE Value for AD1809 is :  0.09709741043852471\n",
      "RMSE Value for AD1810 is :  0.10521874300350809\n",
      "RMSE Value for AD1811 is :  0.11130974242723912\n",
      "RMSE Value for AD1812 is :  0.12958274169844974\n",
      "RMSE Value for AD1813 is :  0.1174007418509776\n",
      "RMSE Value for AD1814 is :  0.12146140913346959\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD1815 is :  0.05446041247237554\n",
      "RMSE Value for AD1816 is :  0.11130974242723912\n",
      "RMSE Value for AD1817 is :  0.10115807672101096\n",
      "RMSE Value for AD1818 is :  0.11130974242723912\n",
      "RMSE Value for AD1819 is :  0.15394674039339162\n",
      "RMSE Value for AD1820 is :  0.109279409285993\n",
      "RMSE Value for AD1821 is :  0.1316130748396901\n",
      "RMSE Value for AD1822 is :  0.05852107875485535\n",
      "RMSE Value for AD1823 is :  0.03618741320116037\n",
      "RMSE Value for AD1824 is :  0.03618741320116037\n",
      "RMSE Value for AD1825 is :  0.11130974242723912\n",
      "RMSE Value for AD1826 is :  0.12552207541595428\n",
      "RMSE Value for AD1827 is :  0.05243007933113142\n",
      "RMSE Value for AD1828 is :  0.07273341174358094\n",
      "RMSE Value for AD1829 is :  0.1417647405459238\n",
      "RMSE Value for AD1830 is :  0.13973440740467602\n",
      "RMSE Value for AD1831 is :  0.06867274546108915\n",
      "RMSE Value for AD1832 is :  0.0443087467661516\n",
      "RMSE Value for AD1833 is :  0.109279409285993\n",
      "RMSE Value for AD1834 is :  0.1153704087097337\n",
      "RMSE Value for AD1835 is :  0.1580074066758801\n",
      "RMSE Value for AD1836 is :  0.026035747494939976\n",
      "RMSE Value for AD1837 is :  0.14785574096965393\n",
      "RMSE Value for AD1838 is :  0.160037739817127\n",
      "RMSE Value for AD1839 is :  0.07476374488482307\n",
      "RMSE Value for AD1840 is :  0.08694574373229758\n",
      "RMSE Value for AD1841 is :  0.1133400755684878\n",
      "RMSE Value for AD1842 is :  0.08897607687354236\n",
      "RMSE Value for AD1843 is :  0.08491541059105168\n",
      "RMSE Value for AD1844 is :  0.03618741320116037\n",
      "RMSE Value for AD1845 is :  0.07070307860233349\n",
      "RMSE Value for AD1846 is :  0.109279409285993\n",
      "RMSE Value for AD1847 is :  0.03009641377742933\n",
      "RMSE Value for AD1848 is :  0.06258174503735603\n",
      "RMSE Value for AD1849 is :  0.14785574096965393\n",
      "RMSE Value for AD1850 is :  0.1316130748396901\n",
      "RMSE Value for AD1851 is :  0.024005414353693855\n",
      "RMSE Value for AD1852 is :  0.07070307860233349\n",
      "RMSE Value for AD1853 is :  0.05852107875485535\n",
      "RMSE Value for AD1854 is :  0.056490745613613\n",
      "RMSE Value for AD1855 is :  0.10724907614475243\n",
      "RMSE Value for AD1856 is :  0.10724907614475243\n",
      "RMSE Value for AD1857 is :  0.06258174503735603\n",
      "RMSE Value for AD1858 is :  0.08897607687354236\n",
      "RMSE Value for AD1859 is :  0.07273341174358094\n",
      "RMSE Value for AD1860 is :  0.04024807948365838\n",
      "RMSE Value for AD1861 is :  0.024005414353693855\n",
      "RMSE Value for AD1862 is :  0.1316130748396901\n",
      "RMSE Value for AD1863 is :  0.1458254078284149\n",
      "RMSE Value for AD1864 is :  0.04024807948365838\n",
      "RMSE Value for AD1865 is :  0.12552207541595428\n",
      "RMSE Value for AD1866 is :  0.14988607411090227\n",
      "RMSE Value for AD1867 is :  0.024005414353693855\n",
      "RMSE Value for AD1868 is :  0.1133400755684878\n",
      "RMSE Value for AD1869 is :  0.07070307860233349\n",
      "RMSE Value for AD1870 is :  0.06258174503735603\n",
      "RMSE Value for AD1871 is :  0.1559770735346392\n",
      "RMSE Value for AD1872 is :  0.1153704087097337\n",
      "RMSE Value for AD1873 is :  0.09709741043852471\n",
      "RMSE Value for AD1874 is :  0.15191640725214584\n",
      "RMSE Value for AD1875 is :  0.034157080059919354\n",
      "RMSE Value for AD1876 is :  0.09303674315602972\n",
      "RMSE Value for AD1877 is :  0.109279409285993\n",
      "RMSE Value for AD1878 is :  0.08897607687354236\n",
      "RMSE Value for AD1879 is :  0.03212674691867812\n",
      "RMSE Value for AD1880 is :  0.05243007933113142\n",
      "RMSE Value for AD1881 is :  0.1133400755684878\n",
      "RMSE Value for AD1882 is :  0.12958274169844974\n",
      "RMSE Value for AD1883 is :  0.13770407426342834\n",
      "RMSE Value for AD1884 is :  0.08085474430855588\n",
      "RMSE Value for AD1885 is :  0.11943107499222239\n",
      "RMSE Value for AD1886 is :  0.14988607411090227\n",
      "RMSE Value for AD1887 is :  0.09912774357977261\n",
      "RMSE Value for AD1888 is :  0.05852107875485535\n",
      "RMSE Value for AD1889 is :  0.04633907990739461\n",
      "RMSE Value for AD1890 is :  0.1559770735346392\n",
      "RMSE Value for AD1891 is :  0.03618741320116037\n",
      "RMSE Value for AD1892 is :  0.10521874300350809\n",
      "RMSE Value for AD1893 is :  0.08897607687354236\n",
      "RMSE Value for AD1894 is :  0.026035747494939976\n",
      "RMSE Value for AD1895 is :  0.05243007933113142\n",
      "RMSE Value for AD1896 is :  0.12755240855720162\n",
      "RMSE Value for AD1897 is :  0.07476374488482307\n",
      "RMSE Value for AD1898 is :  0.15394674039339162\n",
      "RMSE Value for AD1899 is :  0.10521874300350809\n",
      "RMSE Value for AD1900 is :  0.08694574373229758\n",
      "RMSE Value for AD1901 is :  0.11130974242723912\n",
      "RMSE Value for AD1902 is :  0.1580074066758801\n",
      "RMSE Value for AD1903 is :  0.1316130748396901\n",
      "RMSE Value for AD1904 is :  0.05243007933113142\n",
      "RMSE Value for AD1905 is :  0.15191640725214584\n",
      "RMSE Value for AD1906 is :  0.1559770735346392\n",
      "RMSE Value for AD1907 is :  0.06055141189610924\n",
      "RMSE Value for AD1908 is :  0.03821774634241115\n",
      "RMSE Value for AD1909 is :  0.1580074066758801\n",
      "RMSE Value for AD1910 is :  0.06258174503735603\n",
      "RMSE Value for AD1911 is :  0.056490745613613\n",
      "RMSE Value for AD1912 is :  0.1133400755684878\n",
      "RMSE Value for AD1913 is :  0.05852107875485535\n",
      "RMSE Value for AD1914 is :  0.109279409285993\n",
      "RMSE Value for AD1915 is :  0.13567374112218322\n",
      "RMSE Value for AD1916 is :  0.10724907614475243\n",
      "RMSE Value for AD1917 is :  0.1153704087097337\n",
      "RMSE Value for AD1918 is :  0.034157080059919354\n",
      "RMSE Value for AD1919 is :  0.10521874300350809\n",
      "RMSE Value for AD1920 is :  0.13973440740467602\n",
      "RMSE Value for AD1921 is :  0.1580074066758801\n",
      "RMSE Value for AD1922 is :  0.14379507368716515\n",
      "RMSE Value for AD1923 is :  0.10115807672101096\n",
      "RMSE Value for AD1924 is :  0.1153704087097337\n",
      "RMSE Value for AD1925 is :  0.026035747494939976\n",
      "RMSE Value for AD1926 is :  0.13567374112218322\n",
      "RMSE Value for AD1927 is :  0.12755240855720162\n",
      "RMSE Value for AD1928 is :  0.07882441116731154\n",
      "RMSE Value for AD1929 is :  0.1153704087097337\n",
      "RMSE Value for AD1930 is :  0.056490745613613\n",
      "RMSE Value for AD1931 is :  0.03821774634241115\n",
      "RMSE Value for AD1932 is :  0.08491541059105168\n",
      "RMSE Value for AD1933 is :  0.11130974242723912\n",
      "RMSE Value for AD1934 is :  0.09506707729727637\n",
      "RMSE Value for AD1935 is :  0.109279409285993\n",
      "RMSE Value for AD1936 is :  0.08085474430855588\n",
      "RMSE Value for AD1937 is :  0.133643407980939\n",
      "RMSE Value for AD1938 is :  0.12552207541595428\n",
      "RMSE Value for AD1939 is :  0.024005414353693855\n",
      "RMSE Value for AD1940 is :  0.048369413048634735\n",
      "RMSE Value for AD1941 is :  0.133643407980939\n",
      "RMSE Value for AD1942 is :  0.0443087467661516\n",
      "RMSE Value for AD1943 is :  0.12349174227471205\n",
      "RMSE Value for AD1944 is :  0.10318840986225974\n",
      "RMSE Value for AD1945 is :  0.06664241131984405\n",
      "RMSE Value for AD1946 is :  0.05446041247237554\n",
      "RMSE Value for AD1947 is :  0.07476374488482307\n",
      "RMSE Value for AD1948 is :  0.10521874300350809\n",
      "RMSE Value for AD1949 is :  0.109279409285993\n",
      "RMSE Value for AD1950 is :  0.10318840986225974\n",
      "RMSE Value for AD1951 is :  0.06461207817859838\n",
      "RMSE Value for AD1952 is :  0.06867274546108915\n",
      "RMSE Value for AD1953 is :  0.1316130748396901\n",
      "RMSE Value for AD1954 is :  0.07273341174358094\n",
      "RMSE Value for AD1955 is :  0.160037739817127\n",
      "RMSE Value for AD1956 is :  0.07070307860233349\n",
      "RMSE Value for AD1957 is :  0.1458254078284149\n",
      "RMSE Value for AD1958 is :  0.05852107875485535\n",
      "RMSE Value for AD1959 is :  0.08897607687354236\n",
      "RMSE Value for AD1960 is :  0.05243007933113142\n",
      "RMSE Value for AD1961 is :  0.07070307860233349\n",
      "RMSE Value for AD1962 is :  0.04227841262490628\n",
      "RMSE Value for AD1963 is :  0.1417647405459238\n",
      "RMSE Value for AD1964 is :  0.07070307860233349\n",
      "RMSE Value for AD1965 is :  0.09303674315602972\n",
      "RMSE Value for AD1966 is :  0.06867274546108915\n",
      "RMSE Value for AD1967 is :  0.10724907614475243\n",
      "RMSE Value for AD1968 is :  0.04227841262490628\n",
      "RMSE Value for AD1969 is :  0.16206807295837017\n",
      "RMSE Value for AD1970 is :  0.050399746189887074\n",
      "RMSE Value for AD1971 is :  0.03618741320116037\n",
      "RMSE Value for AD1972 is :  0.04227841262490628\n",
      "RMSE Value for AD1973 is :  0.13770407426342834\n",
      "RMSE Value for AD1974 is :  0.1417647405459238\n",
      "RMSE Value for AD1975 is :  0.05852107875485535\n",
      "RMSE Value for AD1976 is :  0.160037739817127\n",
      "RMSE Value for AD1977 is :  0.1316130748396901\n",
      "RMSE Value for AD1978 is :  0.09912774357977261\n",
      "RMSE Value for AD1979 is :  0.12146140913346959\n",
      "RMSE Value for AD1980 is :  0.03009641377742933\n",
      "RMSE Value for AD1981 is :  0.14988607411090227\n",
      "RMSE Value for AD1982 is :  0.13770407426342834\n",
      "RMSE Value for AD1983 is :  0.09709741043852471\n",
      "RMSE Value for AD1984 is :  0.133643407980939\n",
      "RMSE Value for AD1985 is :  0.14379507368716515\n",
      "RMSE Value for AD1986 is :  0.026035747494939976\n",
      "RMSE Value for AD1987 is :  0.12146140913346959\n",
      "RMSE Value for AD1988 is :  0.13567374112218322\n",
      "RMSE Value for AD1989 is :  0.056490745613613\n",
      "RMSE Value for AD1990 is :  0.048369413048634735\n",
      "RMSE Value for AD1991 is :  0.1458254078284149\n",
      "RMSE Value for AD1992 is :  0.09709741043852471\n",
      "RMSE Value for AD1993 is :  0.10724907614475243\n",
      "RMSE Value for AD1994 is :  0.10318840986225974\n",
      "RMSE Value for AD1995 is :  0.03618741320116037\n",
      "RMSE Value for AD1996 is :  0.06055141189610924\n",
      "RMSE Value for AD1997 is :  0.1153704087097337\n",
      "RMSE Value for AD1998 is :  0.1316130748396901\n",
      "RMSE Value for AD1999 is :  0.05243007933113142\n",
      "RMSE Value for AD2000 is :  0.06461207817859838\n",
      "RMSE Value for AD2001 is :  0.15191640725214584\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD2002 is :  0.07882441116731154\n",
      "RMSE Value for AD2003 is :  0.11943107499222239\n",
      "RMSE Value for AD2004 is :  0.12958274169844974\n",
      "RMSE Value for AD2005 is :  0.14785574096965393\n",
      "RMSE Value for AD2006 is :  0.08897607687354236\n",
      "RMSE Value for AD2007 is :  0.06461207817859838\n",
      "RMSE Value for AD2008 is :  0.06055141189610924\n",
      "RMSE Value for AD2009 is :  0.021975081212446845\n",
      "RMSE Value for AD2010 is :  0.028066080636178325\n",
      "RMSE Value for AD2011 is :  0.14785574096965393\n",
      "RMSE Value for AD2012 is :  0.12755240855720162\n",
      "RMSE Value for AD2013 is :  0.08491541059105168\n",
      "RMSE Value for AD2014 is :  0.15191640725214584\n",
      "RMSE Value for AD2015 is :  0.16206807295837017\n",
      "RMSE Value for AD2016 is :  0.16206807295837017\n",
      "RMSE Value for AD2017 is :  0.05243007933113142\n",
      "RMSE Value for AD2018 is :  0.048369413048634735\n",
      "RMSE Value for AD2019 is :  0.021975081212446845\n",
      "RMSE Value for AD2020 is :  0.08897607687354236\n",
      "RMSE Value for AD2021 is :  0.09100641001478782\n",
      "RMSE Value for AD2022 is :  0.10724907614475243\n",
      "RMSE Value for AD2023 is :  0.15394674039339162\n",
      "RMSE Value for AD2024 is :  0.13567374112218322\n",
      "RMSE Value for AD2025 is :  0.03009641377742933\n",
      "RMSE Value for AD2026 is :  0.10521874300350809\n",
      "RMSE Value for AD2027 is :  0.06461207817859838\n",
      "RMSE Value for AD2028 is :  0.133643407980939\n",
      "RMSE Value for AD2029 is :  0.07882441116731154\n",
      "RMSE Value for AD2030 is :  0.1174007418509776\n",
      "RMSE Value for AD2031 is :  0.03009641377742933\n",
      "RMSE Value for AD2032 is :  0.08897607687354236\n",
      "RMSE Value for AD2033 is :  0.13770407426342834\n",
      "RMSE Value for AD2034 is :  0.13770407426342834\n",
      "RMSE Value for AD2035 is :  0.024005414353693855\n",
      "RMSE Value for AD2036 is :  0.15394674039339162\n",
      "RMSE Value for AD2037 is :  0.13973440740467602\n",
      "RMSE Value for AD2038 is :  0.09100641001478782\n",
      "RMSE Value for AD2039 is :  0.12755240855720162\n",
      "RMSE Value for AD2040 is :  0.03618741320116037\n",
      "RMSE Value for AD2041 is :  0.12552207541595428\n",
      "RMSE Value for AD2042 is :  0.11130974242723912\n",
      "RMSE Value for AD2043 is :  0.03618741320116037\n",
      "RMSE Value for AD2044 is :  0.050399746189887074\n",
      "RMSE Value for AD2045 is :  0.056490745613613\n",
      "RMSE Value for AD2046 is :  0.050399746189887074\n",
      "RMSE Value for AD2047 is :  0.0443087467661516\n",
      "RMSE Value for AD2048 is :  0.09709741043852471\n",
      "RMSE Value for AD2049 is :  0.12755240855720162\n",
      "RMSE Value for AD2050 is :  0.048369413048634735\n",
      "RMSE Value for AD2051 is :  0.024005414353693855\n",
      "RMSE Value for AD2052 is :  0.1580074066758801\n",
      "RMSE Value for AD2053 is :  0.07679407802607474\n",
      "RMSE Value for AD2054 is :  0.03821774634241115\n",
      "RMSE Value for AD2055 is :  0.05852107875485535\n",
      "RMSE Value for AD2056 is :  0.1174007418509776\n",
      "RMSE Value for AD2057 is :  0.1316130748396901\n",
      "RMSE Value for AD2058 is :  0.15394674039339162\n",
      "RMSE Value for AD2059 is :  0.06258174503735603\n",
      "RMSE Value for AD2060 is :  0.1316130748396901\n",
      "RMSE Value for AD2061 is :  0.034157080059919354\n",
      "RMSE Value for AD2062 is :  0.09912774357977261\n",
      "RMSE Value for AD2063 is :  0.028066080636178325\n",
      "RMSE Value for AD2064 is :  0.06867274546108915\n",
      "RMSE Value for AD2065 is :  0.034157080059919354\n",
      "RMSE Value for AD2066 is :  0.16206807295837017\n",
      "RMSE Value for AD2067 is :  0.14785574096965393\n",
      "RMSE Value for AD2068 is :  0.1417647405459238\n",
      "RMSE Value for AD2069 is :  0.160037739817127\n",
      "RMSE Value for AD2070 is :  0.07882441116731154\n",
      "RMSE Value for AD2071 is :  0.06664241131984405\n",
      "RMSE Value for AD2072 is :  0.07476374488482307\n",
      "RMSE Value for AD2073 is :  0.10115807672101096\n",
      "RMSE Value for AD2074 is :  0.109279409285993\n",
      "RMSE Value for AD2075 is :  0.03618741320116037\n",
      "RMSE Value for AD2076 is :  0.15191640725214584\n",
      "RMSE Value for AD2077 is :  0.06258174503735603\n",
      "RMSE Value for AD2078 is :  0.07882441116731154\n",
      "RMSE Value for AD2079 is :  0.12755240855720162\n",
      "RMSE Value for AD2080 is :  0.1458254078284149\n",
      "RMSE Value for AD2081 is :  0.048369413048634735\n",
      "RMSE Value for AD2082 is :  0.09709741043852471\n",
      "RMSE Value for AD2083 is :  0.03212674691867812\n",
      "RMSE Value for AD2084 is :  0.13567374112218322\n",
      "RMSE Value for AD2085 is :  0.0443087467661516\n",
      "RMSE Value for AD2086 is :  0.06461207817859838\n",
      "RMSE Value for AD2087 is :  0.07882441116731154\n",
      "RMSE Value for AD2088 is :  0.050399746189887074\n",
      "RMSE Value for AD2089 is :  0.04024807948365838\n",
      "RMSE Value for AD2090 is :  0.12958274169844974\n",
      "RMSE Value for AD2091 is :  0.05852107875485535\n",
      "RMSE Value for AD2092 is :  0.1458254078284149\n",
      "RMSE Value for AD2093 is :  0.028066080636178325\n",
      "RMSE Value for AD2094 is :  0.024005414353693855\n",
      "RMSE Value for AD2095 is :  0.14785574096965393\n",
      "RMSE Value for AD2096 is :  0.08694574373229758\n",
      "RMSE Value for AD2097 is :  0.12958274169844974\n",
      "RMSE Value for AD2098 is :  0.05852107875485535\n",
      "RMSE Value for AD2099 is :  0.056490745613613\n",
      "RMSE Value for AD2100 is :  0.10521874300350809\n",
      "RMSE Value for AD2101 is :  0.14988607411090227\n",
      "RMSE Value for AD2102 is :  0.05243007933113142\n",
      "RMSE Value for AD2103 is :  0.07679407802607474\n",
      "RMSE Value for AD2104 is :  0.16206807295837017\n",
      "RMSE Value for AD2105 is :  0.16206807295837017\n",
      "RMSE Value for AD2106 is :  0.08288507744980356\n",
      "RMSE Value for AD2107 is :  0.1133400755684878\n",
      "RMSE Value for AD2108 is :  0.13770407426342834\n",
      "RMSE Value for AD2109 is :  0.050399746189887074\n",
      "RMSE Value for AD2110 is :  0.03009641377742933\n",
      "RMSE Value for AD2111 is :  0.09100641001478782\n",
      "RMSE Value for AD2112 is :  0.14988607411090227\n",
      "RMSE Value for AD2113 is :  0.13973440740467602\n",
      "RMSE Value for AD2114 is :  0.12755240855720162\n",
      "RMSE Value for AD2115 is :  0.1174007418509776\n",
      "RMSE Value for AD2116 is :  0.12958274169844974\n",
      "RMSE Value for AD2117 is :  0.109279409285993\n",
      "RMSE Value for AD2118 is :  0.15394674039339162\n",
      "RMSE Value for AD2119 is :  0.12958274169844974\n",
      "RMSE Value for AD2120 is :  0.14785574096965393\n",
      "RMSE Value for AD2121 is :  0.12958274169844974\n",
      "RMSE Value for AD2122 is :  0.11130974242723912\n",
      "RMSE Value for AD2123 is :  0.14785574096965393\n",
      "RMSE Value for AD2124 is :  0.06867274546108915\n",
      "RMSE Value for AD2125 is :  0.10724907614475243\n",
      "RMSE Value for AD2126 is :  0.09912774357977261\n",
      "RMSE Value for AD2127 is :  0.1417647405459238\n",
      "RMSE Value for AD2128 is :  0.15394674039339162\n",
      "RMSE Value for AD2129 is :  0.07070307860233349\n",
      "RMSE Value for AD2130 is :  0.07679407802607474\n",
      "RMSE Value for AD2131 is :  0.109279409285993\n",
      "RMSE Value for AD2132 is :  0.06664241131984405\n",
      "RMSE Value for AD2133 is :  0.13567374112218322\n",
      "RMSE Value for AD2134 is :  0.034157080059919354\n",
      "RMSE Value for AD2135 is :  0.06461207817859838\n",
      "RMSE Value for AD2136 is :  0.026035747494939976\n",
      "RMSE Value for AD2137 is :  0.133643407980939\n",
      "RMSE Value for AD2138 is :  0.08897607687354236\n",
      "RMSE Value for AD2139 is :  0.09303674315602972\n",
      "RMSE Value for AD2140 is :  0.05243007933113142\n",
      "RMSE Value for AD2141 is :  0.16206807295837017\n",
      "RMSE Value for AD2142 is :  0.05243007933113142\n",
      "RMSE Value for AD2143 is :  0.12349174227471205\n",
      "RMSE Value for AD2144 is :  0.03618741320116037\n",
      "RMSE Value for AD2145 is :  0.15394674039339162\n",
      "RMSE Value for AD2146 is :  0.08694574373229758\n",
      "RMSE Value for AD2147 is :  0.04024807948365838\n",
      "RMSE Value for AD2148 is :  0.12146140913346959\n",
      "RMSE Value for AD2149 is :  0.1417647405459238\n",
      "RMSE Value for AD2150 is :  0.12755240855720162\n",
      "RMSE Value for AD2151 is :  0.056490745613613\n",
      "RMSE Value for AD2152 is :  0.13567374112218322\n",
      "RMSE Value for AD2153 is :  0.13567374112218322\n",
      "RMSE Value for AD2154 is :  0.09100641001478782\n",
      "RMSE Value for AD2155 is :  0.08897607687354236\n",
      "RMSE Value for AD2156 is :  0.056490745613613\n",
      "RMSE Value for AD2157 is :  0.13567374112218322\n",
      "RMSE Value for AD2158 is :  0.133643407980939\n",
      "RMSE Value for AD2159 is :  0.11130974242723912\n",
      "RMSE Value for AD2160 is :  0.028066080636178325\n",
      "RMSE Value for AD2161 is :  0.13770407426342834\n",
      "RMSE Value for AD2162 is :  0.07070307860233349\n",
      "RMSE Value for AD2163 is :  0.04633907990739461\n",
      "RMSE Value for AD2164 is :  0.10521874300350809\n",
      "RMSE Value for AD2165 is :  0.1153704087097337\n",
      "RMSE Value for AD2166 is :  0.09303674315602972\n",
      "RMSE Value for AD2167 is :  0.10521874300350809\n",
      "RMSE Value for AD2168 is :  0.16206807295837017\n",
      "RMSE Value for AD2169 is :  0.14785574096965393\n",
      "RMSE Value for AD2170 is :  0.07882441116731154\n",
      "RMSE Value for AD2171 is :  0.026035747494939976\n",
      "RMSE Value for AD2172 is :  0.1580074066758801\n",
      "RMSE Value for AD2173 is :  0.10521874300350809\n",
      "RMSE Value for AD2174 is :  0.14379507368716515\n",
      "RMSE Value for AD2175 is :  0.12349174227471205\n",
      "RMSE Value for AD2176 is :  0.024005414353693855\n",
      "RMSE Value for AD2177 is :  0.03618741320116037\n",
      "RMSE Value for AD2178 is :  0.04024807948365838\n",
      "RMSE Value for AD2179 is :  0.1174007418509776\n",
      "RMSE Value for AD2180 is :  0.06461207817859838\n",
      "RMSE Value for AD2181 is :  0.07273341174358094\n",
      "RMSE Value for AD2182 is :  0.13973440740467602\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD2183 is :  0.1580074066758801\n",
      "RMSE Value for AD2184 is :  0.133643407980939\n",
      "RMSE Value for AD2185 is :  0.04227841262490628\n",
      "RMSE Value for AD2186 is :  0.0443087467661516\n",
      "RMSE Value for AD2187 is :  0.133643407980939\n",
      "RMSE Value for AD2188 is :  0.05852107875485535\n",
      "RMSE Value for AD2189 is :  0.11130974242723912\n",
      "RMSE Value for AD2190 is :  0.12146140913346959\n",
      "RMSE Value for AD2191 is :  0.028066080636178325\n",
      "RMSE Value for AD2192 is :  0.1316130748396901\n",
      "RMSE Value for AD2193 is :  0.04024807948365838\n",
      "RMSE Value for AD2194 is :  0.15394674039339162\n",
      "RMSE Value for AD2195 is :  0.06867274546108915\n",
      "RMSE Value for AD2196 is :  0.09303674315602972\n",
      "RMSE Value for AD2197 is :  0.03009641377742933\n",
      "RMSE Value for AD2198 is :  0.13567374112218322\n",
      "RMSE Value for AD2199 is :  0.07273341174358094\n",
      "RMSE Value for AD2200 is :  0.16206807295837017\n",
      "RMSE Value for AD2201 is :  0.10318840986225974\n",
      "RMSE Value for AD2202 is :  0.08288507744980356\n",
      "RMSE Value for AD2203 is :  0.1559770735346392\n",
      "RMSE Value for AD2204 is :  0.05446041247237554\n",
      "RMSE Value for AD2205 is :  0.06258174503735603\n",
      "RMSE Value for AD2206 is :  0.1559770735346392\n",
      "RMSE Value for AD2207 is :  0.12146140913346959\n",
      "RMSE Value for AD2208 is :  0.10115807672101096\n",
      "RMSE Value for AD2209 is :  0.10521874300350809\n",
      "RMSE Value for AD2210 is :  0.1133400755684878\n",
      "RMSE Value for AD2211 is :  0.09506707729727637\n",
      "RMSE Value for AD2212 is :  0.08085474430855588\n",
      "RMSE Value for AD2213 is :  0.14785574096965393\n",
      "RMSE Value for AD2214 is :  0.12755240855720162\n",
      "RMSE Value for AD2215 is :  0.04024807948365838\n",
      "RMSE Value for AD2216 is :  0.1153704087097337\n",
      "RMSE Value for AD2217 is :  0.10318840986225974\n",
      "RMSE Value for AD2218 is :  0.04633907990739461\n",
      "RMSE Value for AD2219 is :  0.04227841262490628\n",
      "RMSE Value for AD2220 is :  0.08085474430855588\n",
      "RMSE Value for AD2221 is :  0.1153704087097337\n",
      "RMSE Value for AD2222 is :  0.09709741043852471\n",
      "RMSE Value for AD2223 is :  0.1580074066758801\n",
      "RMSE Value for AD2224 is :  0.10115807672101096\n",
      "RMSE Value for AD2225 is :  0.06055141189610924\n",
      "RMSE Value for AD2226 is :  0.048369413048634735\n",
      "RMSE Value for AD2227 is :  0.06055141189610924\n",
      "RMSE Value for AD2228 is :  0.06055141189610924\n",
      "RMSE Value for AD2229 is :  0.12349174227471205\n",
      "RMSE Value for AD2230 is :  0.08288507744980356\n",
      "RMSE Value for AD2231 is :  0.10521874300350809\n",
      "RMSE Value for AD2232 is :  0.10318840986225974\n",
      "RMSE Value for AD2233 is :  0.12146140913346959\n",
      "RMSE Value for AD2234 is :  0.08085474430855588\n",
      "RMSE Value for AD2235 is :  0.08897607687354236\n",
      "RMSE Value for AD2236 is :  0.12958274169844974\n",
      "RMSE Value for AD2237 is :  0.14785574096965393\n",
      "RMSE Value for AD2238 is :  0.1580074066758801\n",
      "RMSE Value for AD2239 is :  0.1153704087097337\n",
      "RMSE Value for AD2240 is :  0.06258174503735603\n",
      "RMSE Value for AD2241 is :  0.11130974242723912\n",
      "RMSE Value for AD2242 is :  0.1580074066758801\n",
      "RMSE Value for AD2243 is :  0.10521874300350809\n",
      "RMSE Value for AD2244 is :  0.1417647405459238\n",
      "RMSE Value for AD2245 is :  0.03212674691867812\n",
      "RMSE Value for AD2246 is :  0.03821774634241115\n",
      "RMSE Value for AD2247 is :  0.14379507368716515\n",
      "RMSE Value for AD2248 is :  0.026035747494939976\n",
      "RMSE Value for AD2249 is :  0.16206807295837017\n",
      "RMSE Value for AD2250 is :  0.07070307860233349\n",
      "RMSE Value for AD2251 is :  0.109279409285993\n",
      "RMSE Value for AD2252 is :  0.1153704087097337\n",
      "RMSE Value for AD2253 is :  0.056490745613613\n",
      "RMSE Value for AD2254 is :  0.14988607411090227\n",
      "RMSE Value for AD2255 is :  0.13770407426342834\n",
      "RMSE Value for AD2256 is :  0.03821774634241115\n",
      "RMSE Value for AD2257 is :  0.026035747494939976\n",
      "RMSE Value for AD2258 is :  0.03821774634241115\n",
      "RMSE Value for AD2259 is :  0.13770407426342834\n",
      "RMSE Value for AD2260 is :  0.07882441116731154\n",
      "RMSE Value for AD2261 is :  0.034157080059919354\n",
      "RMSE Value for AD2262 is :  0.03212674691867812\n",
      "RMSE Value for AD2263 is :  0.12146140913346959\n",
      "RMSE Value for AD2264 is :  0.06461207817859838\n",
      "RMSE Value for AD2265 is :  0.021975081212446845\n",
      "RMSE Value for AD2266 is :  0.07070307860233349\n",
      "RMSE Value for AD2267 is :  0.11130974242723912\n",
      "RMSE Value for AD2268 is :  0.1559770735346392\n",
      "RMSE Value for AD2269 is :  0.11943107499222239\n",
      "RMSE Value for AD2270 is :  0.07679407802607474\n",
      "RMSE Value for AD2271 is :  0.12552207541595428\n",
      "RMSE Value for AD2272 is :  0.1174007418509776\n",
      "RMSE Value for AD2273 is :  0.09912774357977261\n",
      "RMSE Value for AD2274 is :  0.03821774634241115\n",
      "RMSE Value for AD2275 is :  0.03009641377742933\n",
      "RMSE Value for AD2276 is :  0.050399746189887074\n",
      "RMSE Value for AD2277 is :  0.024005414353693855\n",
      "RMSE Value for AD2278 is :  0.09303674315602972\n",
      "RMSE Value for AD2279 is :  0.06867274546108915\n",
      "RMSE Value for AD2280 is :  0.13973440740467602\n",
      "RMSE Value for AD2281 is :  0.08288507744980356\n",
      "RMSE Value for AD2282 is :  0.1133400755684878\n",
      "RMSE Value for AD2283 is :  0.09912774357977261\n",
      "RMSE Value for AD2284 is :  0.021975081212446845\n",
      "RMSE Value for AD2285 is :  0.14785574096965393\n",
      "RMSE Value for AD2286 is :  0.10115807672101096\n",
      "RMSE Value for AD2287 is :  0.1458254078284149\n",
      "RMSE Value for AD2288 is :  0.07273341174358094\n",
      "RMSE Value for AD2289 is :  0.03009641377742933\n",
      "RMSE Value for AD2290 is :  0.11130974242723912\n",
      "RMSE Value for AD2291 is :  0.0443087467661516\n",
      "RMSE Value for AD2292 is :  0.1174007418509776\n",
      "RMSE Value for AD2293 is :  0.04227841262490628\n",
      "RMSE Value for AD2294 is :  0.13770407426342834\n",
      "RMSE Value for AD2295 is :  0.07273341174358094\n",
      "RMSE Value for AD2296 is :  0.06258174503735603\n",
      "RMSE Value for AD2297 is :  0.1458254078284149\n",
      "RMSE Value for AD2298 is :  0.14988607411090227\n",
      "RMSE Value for AD2299 is :  0.07476374488482307\n",
      "RMSE Value for AD2300 is :  0.133643407980939\n",
      "RMSE Value for AD2301 is :  0.07476374488482307\n",
      "RMSE Value for AD2302 is :  0.09506707729727637\n",
      "RMSE Value for AD2303 is :  0.1458254078284149\n",
      "RMSE Value for AD2304 is :  0.07273341174358094\n",
      "RMSE Value for AD2305 is :  0.048369413048634735\n",
      "RMSE Value for AD2306 is :  0.1153704087097337\n",
      "RMSE Value for AD2307 is :  0.06258174503735603\n",
      "RMSE Value for AD2308 is :  0.11943107499222239\n",
      "RMSE Value for AD2309 is :  0.1458254078284149\n",
      "RMSE Value for AD2310 is :  0.08288507744980356\n",
      "RMSE Value for AD2311 is :  0.1458254078284149\n",
      "RMSE Value for AD2312 is :  0.12349174227471205\n",
      "RMSE Value for AD2313 is :  0.14785574096965393\n",
      "RMSE Value for AD2314 is :  0.048369413048634735\n",
      "RMSE Value for AD2315 is :  0.08085474430855588\n",
      "RMSE Value for AD2316 is :  0.16206807295837017\n",
      "RMSE Value for AD2317 is :  0.15394674039339162\n",
      "RMSE Value for AD2318 is :  0.1153704087097337\n",
      "RMSE Value for AD2319 is :  0.0443087467661516\n",
      "RMSE Value for AD2320 is :  0.1153704087097337\n",
      "RMSE Value for AD2321 is :  0.1174007418509776\n",
      "RMSE Value for AD2322 is :  0.16206807295837017\n",
      "RMSE Value for AD2323 is :  0.12349174227471205\n",
      "RMSE Value for AD2324 is :  0.10521874300350809\n",
      "RMSE Value for AD2325 is :  0.0443087467661516\n",
      "RMSE Value for AD2326 is :  0.07882441116731154\n",
      "RMSE Value for AD2327 is :  0.1417647405459238\n",
      "RMSE Value for AD2328 is :  0.12755240855720162\n",
      "RMSE Value for AD2329 is :  0.034157080059919354\n",
      "RMSE Value for AD2330 is :  0.06664241131984405\n",
      "RMSE Value for AD2331 is :  0.06664241131984405\n",
      "RMSE Value for AD2332 is :  0.05446041247237554\n",
      "RMSE Value for AD2333 is :  0.12958274169844974\n",
      "RMSE Value for AD2334 is :  0.04227841262490628\n",
      "RMSE Value for AD2335 is :  0.050399746189887074\n",
      "RMSE Value for AD2336 is :  0.08694574373229758\n",
      "RMSE Value for AD2337 is :  0.021975081212446845\n",
      "RMSE Value for AD2338 is :  0.14988607411090227\n",
      "RMSE Value for AD2339 is :  0.07070307860233349\n",
      "RMSE Value for AD2340 is :  0.06258174503735603\n",
      "RMSE Value for AD2341 is :  0.05243007933113142\n",
      "RMSE Value for AD2342 is :  0.08288507744980356\n",
      "RMSE Value for AD2343 is :  0.10724907614475243\n",
      "RMSE Value for AD2344 is :  0.1174007418509776\n",
      "RMSE Value for AD2345 is :  0.0443087467661516\n",
      "RMSE Value for AD2346 is :  0.048369413048634735\n",
      "RMSE Value for AD2347 is :  0.06258174503735603\n",
      "RMSE Value for AD2348 is :  0.11943107499222239\n",
      "RMSE Value for AD2349 is :  0.08085474430855588\n",
      "RMSE Value for AD2350 is :  0.03821774634241115\n",
      "RMSE Value for AD2351 is :  0.16206807295837017\n",
      "RMSE Value for AD2352 is :  0.09303674315602972\n",
      "RMSE Value for AD2353 is :  0.028066080636178325\n",
      "RMSE Value for AD2354 is :  0.16206807295837017\n",
      "RMSE Value for AD2355 is :  0.12755240855720162\n",
      "RMSE Value for AD2356 is :  0.15191640725214584\n",
      "RMSE Value for AD2357 is :  0.160037739817127\n",
      "RMSE Value for AD2358 is :  0.06461207817859838\n",
      "RMSE Value for AD2359 is :  0.03618741320116037\n",
      "RMSE Value for AD2360 is :  0.09100641001478782\n",
      "RMSE Value for AD2361 is :  0.026035747494939976\n",
      "RMSE Value for AD2362 is :  0.05446041247237554\n",
      "RMSE Value for AD2363 is :  0.13973440740467602\n",
      "RMSE Value for AD2364 is :  0.12146140913346959\n",
      "RMSE Value for AD2365 is :  0.1174007418509776\n",
      "RMSE Value for AD2366 is :  0.16206807295837017\n",
      "RMSE Value for AD2367 is :  0.07273341174358094\n",
      "RMSE Value for AD2368 is :  0.08694574373229758\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD2369 is :  0.1316130748396901\n",
      "RMSE Value for AD2370 is :  0.1580074066758801\n",
      "RMSE Value for AD2371 is :  0.06664241131984405\n",
      "RMSE Value for AD2372 is :  0.10318840986225974\n",
      "RMSE Value for AD2373 is :  0.034157080059919354\n",
      "RMSE Value for AD2374 is :  0.08491541059105168\n",
      "RMSE Value for AD2375 is :  0.08897607687354236\n",
      "RMSE Value for AD2376 is :  0.109279409285993\n",
      "RMSE Value for AD2377 is :  0.021975081212446845\n",
      "RMSE Value for AD2378 is :  0.08288507744980356\n",
      "RMSE Value for AD2379 is :  0.06461207817859838\n",
      "RMSE Value for AD2380 is :  0.06461207817859838\n",
      "RMSE Value for AD2381 is :  0.08694574373229758\n",
      "RMSE Value for AD2382 is :  0.14379507368716515\n",
      "RMSE Value for AD2383 is :  0.09100641001478782\n",
      "RMSE Value for AD2384 is :  0.04227841262490628\n",
      "RMSE Value for AD2385 is :  0.06664241131984405\n",
      "RMSE Value for AD2386 is :  0.06461207817859838\n",
      "RMSE Value for AD2387 is :  0.04227841262490628\n",
      "RMSE Value for AD2388 is :  0.10724907614475243\n",
      "RMSE Value for AD2389 is :  0.028066080636178325\n",
      "RMSE Value for AD2390 is :  0.03009641377742933\n",
      "RMSE Value for AD2391 is :  0.09709741043852471\n",
      "RMSE Value for AD2392 is :  0.1133400755684878\n",
      "RMSE Value for AD2393 is :  0.1153704087097337\n",
      "RMSE Value for AD2394 is :  0.13770407426342834\n",
      "RMSE Value for AD2395 is :  0.09100641001478782\n",
      "RMSE Value for AD2396 is :  0.07476374488482307\n",
      "RMSE Value for AD2397 is :  0.10318840986225974\n",
      "RMSE Value for AD2398 is :  0.1133400755684878\n",
      "RMSE Value for AD2399 is :  0.024005414353693855\n",
      "RMSE Value for AD2400 is :  0.026035747494939976\n",
      "RMSE Value for AD2401 is :  0.11943107499222239\n",
      "RMSE Value for AD2402 is :  0.12755240855720162\n",
      "RMSE Value for AD2403 is :  0.1153704087097337\n",
      "RMSE Value for AD2404 is :  0.06055141189610924\n",
      "RMSE Value for AD2405 is :  0.1174007418509776\n",
      "RMSE Value for AD2406 is :  0.1580074066758801\n",
      "RMSE Value for AD2407 is :  0.03009641377742933\n",
      "RMSE Value for AD2408 is :  0.133643407980939\n",
      "RMSE Value for AD2409 is :  0.05446041247237554\n",
      "RMSE Value for AD2410 is :  0.09709741043852471\n",
      "RMSE Value for AD2411 is :  0.14785574096965393\n",
      "RMSE Value for AD2412 is :  0.1417647405459238\n",
      "RMSE Value for AD2413 is :  0.10521874300350809\n",
      "RMSE Value for AD2414 is :  0.056490745613613\n",
      "RMSE Value for AD2415 is :  0.07273341174358094\n",
      "RMSE Value for AD2416 is :  0.1153704087097337\n",
      "RMSE Value for AD2417 is :  0.07679407802607474\n",
      "RMSE Value for AD2418 is :  0.06867274546108915\n",
      "RMSE Value for AD2419 is :  0.07273341174358094\n",
      "RMSE Value for AD2420 is :  0.10521874300350809\n",
      "RMSE Value for AD2421 is :  0.14988607411090227\n",
      "RMSE Value for AD2422 is :  0.09303674315602972\n",
      "RMSE Value for AD2423 is :  0.12349174227471205\n",
      "RMSE Value for AD2424 is :  0.15191640725214584\n",
      "RMSE Value for AD2425 is :  0.133643407980939\n",
      "RMSE Value for AD2426 is :  0.08085474430855588\n",
      "RMSE Value for AD2427 is :  0.11130974242723912\n",
      "RMSE Value for AD2428 is :  0.03212674691867812\n",
      "RMSE Value for AD2429 is :  0.03212674691867812\n",
      "RMSE Value for AD2430 is :  0.133643407980939\n",
      "RMSE Value for AD2431 is :  0.1153704087097337\n",
      "RMSE Value for AD2432 is :  0.14988607411090227\n",
      "RMSE Value for AD2433 is :  0.1417647405459238\n",
      "RMSE Value for AD2434 is :  0.05852107875485535\n",
      "RMSE Value for AD2435 is :  0.1316130748396901\n",
      "RMSE Value for AD2436 is :  0.04024807948365838\n",
      "RMSE Value for AD2437 is :  0.09912774357977261\n",
      "RMSE Value for AD2438 is :  0.10115807672101096\n",
      "RMSE Value for AD2439 is :  0.07476374488482307\n",
      "RMSE Value for AD2440 is :  0.04024807948365838\n",
      "RMSE Value for AD2441 is :  0.160037739817127\n",
      "RMSE Value for AD2442 is :  0.06055141189610924\n",
      "RMSE Value for AD2443 is :  0.04024807948365838\n",
      "RMSE Value for AD2444 is :  0.03618741320116037\n",
      "RMSE Value for AD2445 is :  0.03618741320116037\n",
      "RMSE Value for AD2446 is :  0.15191640725214584\n",
      "RMSE Value for AD2447 is :  0.08694574373229758\n",
      "RMSE Value for AD2448 is :  0.14988607411090227\n",
      "RMSE Value for AD2449 is :  0.07882441116731154\n",
      "RMSE Value for AD2450 is :  0.09303674315602972\n",
      "RMSE Value for AD2451 is :  0.12146140913346959\n",
      "RMSE Value for AD2452 is :  0.09303674315602972\n",
      "RMSE Value for AD2453 is :  0.07476374488482307\n",
      "RMSE Value for AD2454 is :  0.1133400755684878\n",
      "RMSE Value for AD2455 is :  0.05446041247237554\n",
      "RMSE Value for AD2456 is :  0.1153704087097337\n",
      "RMSE Value for AD2457 is :  0.109279409285993\n",
      "RMSE Value for AD2458 is :  0.12349174227471205\n",
      "RMSE Value for AD2459 is :  0.03009641377742933\n",
      "RMSE Value for AD2460 is :  0.13973440740467602\n",
      "RMSE Value for AD2461 is :  0.10724907614475243\n",
      "RMSE Value for AD2462 is :  0.056490745613613\n",
      "RMSE Value for AD2463 is :  0.03009641377742933\n",
      "RMSE Value for AD2464 is :  0.10521874300350809\n",
      "RMSE Value for AD2465 is :  0.028066080636178325\n",
      "RMSE Value for AD2466 is :  0.12552207541595428\n",
      "RMSE Value for AD2467 is :  0.12755240855720162\n",
      "RMSE Value for AD2468 is :  0.03821774634241115\n",
      "RMSE Value for AD2469 is :  0.14988607411090227\n",
      "RMSE Value for AD2470 is :  0.13567374112218322\n",
      "RMSE Value for AD2471 is :  0.12958274169844974\n",
      "RMSE Value for AD2472 is :  0.1580074066758801\n",
      "RMSE Value for AD2473 is :  0.03618741320116037\n",
      "RMSE Value for AD2474 is :  0.09912774357977261\n",
      "RMSE Value for AD2475 is :  0.09100641001478782\n",
      "RMSE Value for AD2476 is :  0.12146140913346959\n",
      "RMSE Value for AD2477 is :  0.1174007418509776\n",
      "RMSE Value for AD2478 is :  0.09912774357977261\n",
      "RMSE Value for AD2479 is :  0.04024807948365838\n",
      "RMSE Value for AD2480 is :  0.10115807672101096\n",
      "RMSE Value for AD2481 is :  0.06461207817859838\n",
      "RMSE Value for AD2482 is :  0.050399746189887074\n",
      "RMSE Value for AD2483 is :  0.05446041247237554\n",
      "RMSE Value for AD2484 is :  0.13973440740467602\n",
      "RMSE Value for AD2485 is :  0.09506707729727637\n",
      "RMSE Value for AD2486 is :  0.12146140913346959\n",
      "RMSE Value for AD2487 is :  0.1559770735346392\n",
      "RMSE Value for AD2488 is :  0.09912774357977261\n",
      "RMSE Value for AD2489 is :  0.1458254078284149\n",
      "RMSE Value for AD2490 is :  0.05852107875485535\n",
      "RMSE Value for AD2491 is :  0.13770407426342834\n",
      "RMSE Value for AD2492 is :  0.1458254078284149\n",
      "RMSE Value for AD2493 is :  0.050399746189887074\n",
      "RMSE Value for AD2494 is :  0.09709741043852471\n",
      "RMSE Value for AD2495 is :  0.07476374488482307\n",
      "RMSE Value for AD2496 is :  0.09912774357977261\n",
      "RMSE Value for AD2497 is :  0.056490745613613\n",
      "RMSE Value for AD2498 is :  0.06055141189610924\n",
      "RMSE Value for AD2499 is :  0.05446041247237554\n",
      "RMSE Value for AD2500 is :  0.13770407426342834\n",
      "RMSE Value for AD2501 is :  0.0443087467661516\n",
      "RMSE Value for AD2502 is :  0.10115807672101096\n",
      "RMSE Value for AD2503 is :  0.024005414353693855\n",
      "RMSE Value for AD2504 is :  0.07070307860233349\n",
      "RMSE Value for AD2505 is :  0.1580074066758801\n",
      "RMSE Value for AD2506 is :  0.15191640725214584\n",
      "RMSE Value for AD2507 is :  0.07273341174358094\n",
      "RMSE Value for AD2508 is :  0.09506707729727637\n",
      "RMSE Value for AD2509 is :  0.07679407802607474\n",
      "RMSE Value for AD2510 is :  0.15191640725214584\n",
      "RMSE Value for AD2511 is :  0.048369413048634735\n",
      "RMSE Value for AD2512 is :  0.08491541059105168\n",
      "RMSE Value for AD2513 is :  0.09303674315602972\n",
      "RMSE Value for AD2514 is :  0.03618741320116037\n",
      "RMSE Value for AD2515 is :  0.06461207817859838\n",
      "RMSE Value for AD2516 is :  0.028066080636178325\n",
      "RMSE Value for AD2517 is :  0.021975081212446845\n",
      "RMSE Value for AD2518 is :  0.1316130748396901\n",
      "RMSE Value for AD2519 is :  0.10724907614475243\n",
      "RMSE Value for AD2520 is :  0.06461207817859838\n",
      "RMSE Value for AD2521 is :  0.12146140913346959\n",
      "RMSE Value for AD2522 is :  0.09100641001478782\n",
      "RMSE Value for AD2523 is :  0.07679407802607474\n",
      "RMSE Value for AD2524 is :  0.09709741043852471\n",
      "RMSE Value for AD2525 is :  0.09303674315602972\n",
      "RMSE Value for AD2526 is :  0.1174007418509776\n",
      "RMSE Value for AD2527 is :  0.08288507744980356\n",
      "RMSE Value for AD2528 is :  0.160037739817127\n",
      "RMSE Value for AD2529 is :  0.09709741043852471\n",
      "RMSE Value for AD2530 is :  0.08694574373229758\n",
      "RMSE Value for AD2531 is :  0.050399746189887074\n",
      "RMSE Value for AD2532 is :  0.048369413048634735\n",
      "RMSE Value for AD2533 is :  0.07273341174358094\n",
      "RMSE Value for AD2534 is :  0.048369413048634735\n",
      "RMSE Value for AD2535 is :  0.024005414353693855\n",
      "RMSE Value for AD2536 is :  0.050399746189887074\n",
      "RMSE Value for AD2537 is :  0.1153704087097337\n",
      "RMSE Value for AD2538 is :  0.10521874300350809\n",
      "RMSE Value for AD2539 is :  0.08897607687354236\n",
      "RMSE Value for AD2540 is :  0.034157080059919354\n",
      "RMSE Value for AD2541 is :  0.14988607411090227\n",
      "RMSE Value for AD2542 is :  0.06258174503735603\n",
      "RMSE Value for AD2543 is :  0.1133400755684878\n",
      "RMSE Value for AD2544 is :  0.07679407802607474\n",
      "RMSE Value for AD2545 is :  0.16206807295837017\n",
      "RMSE Value for AD2546 is :  0.12958274169844974\n",
      "RMSE Value for AD2547 is :  0.15191640725214584\n",
      "RMSE Value for AD2548 is :  0.024005414353693855\n",
      "RMSE Value for AD2549 is :  0.1458254078284149\n",
      "RMSE Value for AD2550 is :  0.08085474430855588\n",
      "RMSE Value for AD2551 is :  0.13567374112218322\n",
      "RMSE Value for AD2552 is :  0.12349174227471205\n",
      "RMSE Value for AD2553 is :  0.09506707729727637\n",
      "RMSE Value for AD2554 is :  0.08288507744980356\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Value for AD2555 is :  0.09506707729727637\n",
      "RMSE Value for AD2556 is :  0.05852107875485535\n",
      "RMSE Value for AD2557 is :  0.04227841262490628\n",
      "RMSE Value for AD2558 is :  0.026035747494939976\n",
      "RMSE Value for AD2559 is :  0.10115807672101096\n",
      "RMSE Value for AD2560 is :  0.07882441116731154\n",
      "RMSE Value for AD2561 is :  0.15394674039339162\n",
      "RMSE Value for AD2562 is :  0.160037739817127\n",
      "RMSE Value for AD2563 is :  0.08085474430855588\n",
      "RMSE Value for AD2564 is :  0.08085474430855588\n",
      "RMSE Value for AD2565 is :  0.04633907990739461\n",
      "RMSE Value for AD2566 is :  0.07273341174358094\n",
      "RMSE Value for AD2567 is :  0.15394674039339162\n",
      "RMSE Value for AD2568 is :  0.05243007933113142\n",
      "RMSE Value for AD2569 is :  0.07273341174358094\n",
      "RMSE Value for AD2570 is :  0.12552207541595428\n",
      "RMSE Value for AD2571 is :  0.15191640725214584\n",
      "RMSE Value for AD2572 is :  0.1580074066758801\n",
      "RMSE Value for AD2573 is :  0.133643407980939\n",
      "RMSE Value for AD2574 is :  0.05446041247237554\n",
      "RMSE Value for AD2575 is :  0.07679407802607474\n",
      "RMSE Value for AD2576 is :  0.1559770735346392\n",
      "RMSE Value for AD2577 is :  0.160037739817127\n",
      "RMSE Value for AD2578 is :  0.028066080636178325\n",
      "RMSE Value for AD2579 is :  0.11943107499222239\n",
      "RMSE Value for AD2580 is :  0.048369413048634735\n",
      "RMSE Value for AD2581 is :  0.03821774634241115\n",
      "RMSE Value for AD2582 is :  0.16206807295837017\n",
      "RMSE Value for AD2583 is :  0.1174007418509776\n",
      "RMSE Value for AD2584 is :  0.06258174503735603\n",
      "RMSE Value for AD2585 is :  0.1133400755684878\n",
      "RMSE Value for AD2586 is :  0.07273341174358094\n",
      "RMSE Value for AD2587 is :  0.1174007418509776\n",
      "RMSE Value for AD2588 is :  0.12349174227471205\n",
      "RMSE Value for AD2589 is :  0.03009641377742933\n",
      "RMSE Value for AD2590 is :  0.048369413048634735\n",
      "RMSE Value for AD2591 is :  0.1133400755684878\n",
      "RMSE Value for AD2592 is :  0.024005414353693855\n",
      "RMSE Value for AD2593 is :  0.1174007418509776\n",
      "RMSE Value for AD2594 is :  0.15191640725214584\n",
      "RMSE Value for AD2595 is :  0.07882441116731154\n",
      "RMSE Value for AD2596 is :  0.1559770735346392\n",
      "RMSE Value for AD2597 is :  0.11943107499222239\n",
      "RMSE Value for AD2598 is :  0.1580074066758801\n",
      "RMSE Value for AD2599 is :  0.09709741043852471\n",
      "RMSE Value for AD2600 is :  0.07070307860233349\n",
      "RMSE Value for AD2601 is :  0.10115807672101096\n",
      "RMSE Value for AD2602 is :  0.14785574096965393\n",
      "RMSE Value for AD2603 is :  0.14988607411090227\n",
      "RMSE Value for AD2604 is :  0.109279409285993\n",
      "RMSE Value for AD2605 is :  0.09912774357977261\n",
      "RMSE Value for AD2606 is :  0.13567374112218322\n",
      "RMSE Value for AD2607 is :  0.1559770735346392\n",
      "RMSE Value for AD2608 is :  0.13567374112218322\n",
      "RMSE Value for AD2609 is :  0.08897607687354236\n",
      "RMSE Value for AD2610 is :  0.03009641377742933\n",
      "RMSE Value for AD2611 is :  0.10521874300350809\n",
      "RMSE Value for AD2612 is :  0.06664241131984405\n",
      "RMSE Value for AD2613 is :  0.08897607687354236\n",
      "RMSE Value for AD2614 is :  0.07273341174358094\n",
      "RMSE Value for AD2615 is :  0.03821774634241115\n",
      "RMSE Value for AD2616 is :  0.03821774634241115\n",
      "RMSE Value for AD2617 is :  0.11943107499222239\n",
      "RMSE Value for AD2618 is :  0.10318840986225974\n",
      "RMSE Value for AD2619 is :  0.026035747494939976\n",
      "RMSE Value for AD2620 is :  0.03009641377742933\n",
      "RMSE Value for AD2621 is :  0.021975081212446845\n",
      "RMSE Value for AD2622 is :  0.12958274169844974\n",
      "RMSE Value for AD2623 is :  0.1316130748396901\n",
      "RMSE Value for AD2624 is :  0.1174007418509776\n",
      "RMSE Value for AD2625 is :  0.12349174227471205\n",
      "RMSE Value for AD2626 is :  0.03618741320116037\n",
      "RMSE Value for AD2627 is :  0.08897607687354236\n",
      "RMSE Value for AD2628 is :  0.1316130748396901\n",
      "RMSE Value for AD2629 is :  0.12755240855720162\n",
      "RMSE Value for AD2630 is :  0.03821774634241115\n",
      "RMSE Value for AD2631 is :  0.03821774634241115\n",
      "RMSE Value for AD2632 is :  0.14379507368716515\n",
      "RMSE Value for AD2633 is :  0.06461207817859838\n",
      "RMSE Value for AD2634 is :  0.05446041247237554\n",
      "RMSE Value for AD2635 is :  0.10724907614475243\n",
      "RMSE Value for AD2636 is :  0.026035747494939976\n",
      "RMSE Value for AD2637 is :  0.15394674039339162\n",
      "RMSE Value for AD2638 is :  0.04227841262490628\n",
      "RMSE Value for AD2639 is :  0.133643407980939\n",
      "RMSE Value for AD2640 is :  0.12958274169844974\n",
      "RMSE Value for AD2641 is :  0.07882441116731154\n",
      "RMSE Value for AD2642 is :  0.09506707729727637\n",
      "RMSE Value for AD2643 is :  0.06055141189610924\n",
      "RMSE Value for AD2644 is :  0.05243007933113142\n",
      "RMSE Value for AD2645 is :  0.03212674691867812\n",
      "RMSE Value for AD2646 is :  0.06055141189610924\n",
      "RMSE Value for AD2647 is :  0.133643407980939\n",
      "RMSE Value for AD2648 is :  0.11943107499222239\n",
      "RMSE Value for AD2649 is :  0.11130974242723912\n",
      "RMSE Value for AD2650 is :  0.06867274546108915\n",
      "RMSE Value for AD2651 is :  0.06664241131984405\n",
      "RMSE Value for AD2652 is :  0.10724907614475243\n",
      "RMSE Value for AD2653 is :  0.06867274546108915\n",
      "RMSE Value for AD2654 is :  0.07070307860233349\n",
      "RMSE Value for AD2655 is :  0.12552207541595428\n",
      "RMSE Value for AD2656 is :  0.1174007418509776\n",
      "RMSE Value for AD2657 is :  0.14988607411090227\n",
      "RMSE Value for AD2658 is :  0.16206807295837017\n",
      "RMSE Value for AD2659 is :  0.07476374488482307\n",
      "RMSE Value for AD2660 is :  0.1559770735346392\n",
      "RMSE Value for AD2661 is :  0.07070307860233349\n",
      "RMSE Value for AD2662 is :  0.03212674691867812\n",
      "RMSE Value for AD2663 is :  0.03618741320116037\n",
      "RMSE Value for AD2664 is :  0.028066080636178325\n",
      "RMSE Value for AD2665 is :  0.1174007418509776\n",
      "RMSE Value for AD2666 is :  0.14988607411090227\n",
      "RMSE Value for AD2667 is :  0.1316130748396901\n",
      "RMSE Value for AD2668 is :  0.12958274169844974\n",
      "RMSE Value for AD2669 is :  0.12552207541595428\n",
      "RMSE Value for AD2670 is :  0.06867274546108915\n",
      "RMSE Value for AD2671 is :  0.12349174227471205\n",
      "RMSE Value for AD2672 is :  0.109279409285993\n",
      "RMSE Value for AD2673 is :  0.04024807948365838\n",
      "RMSE Value for AD2674 is :  0.06055141189610924\n",
      "RMSE Value for AD2675 is :  0.021975081212446845\n",
      "RMSE Value for AD2676 is :  0.1153704087097337\n",
      "RMSE Value for AD2677 is :  0.024005414353693855\n",
      "RMSE Value for AD2678 is :  0.12146140913346959\n",
      "RMSE Value for AD2679 is :  0.109279409285993\n",
      "RMSE Value for AD2680 is :  0.1580074066758801\n",
      "RMSE Value for AD2681 is :  0.11943107499222239\n",
      "RMSE Value for AD2682 is :  0.04227841262490628\n",
      "RMSE Value for AD2683 is :  0.06461207817859838\n",
      "RMSE Value for AD2684 is :  0.024005414353693855\n",
      "RMSE Value for AD2685 is :  0.056490745613613\n",
      "RMSE Value for AD2686 is :  0.1316130748396901\n",
      "RMSE Value for AD2687 is :  0.13973440740467602\n",
      "RMSE Value for AD2688 is :  0.133643407980939\n",
      "RMSE Value for AD2689 is :  0.12958274169844974\n",
      "RMSE Value for AD2690 is :  0.026035747494939976\n",
      "RMSE Value for AD2691 is :  0.05243007933113142\n",
      "RMSE Value for AD2692 is :  0.07476374488482307\n",
      "RMSE Value for AD2693 is :  0.08897607687354236\n",
      "RMSE Value for AD2694 is :  0.08288507744980356\n",
      "RMSE Value for AD2695 is :  0.09100641001478782\n",
      "RMSE Value for AD2696 is :  0.14785574096965393\n",
      "RMSE Value for AD2697 is :  0.06664241131984405\n",
      "RMSE Value for AD2698 is :  0.08085474430855588\n",
      "RMSE Value for AD2699 is :  0.1458254078284149\n",
      "RMSE Value for AD2700 is :  0.08288507744980356\n",
      "RMSE Value for AD2701 is :  0.133643407980939\n",
      "RMSE Value for AD2702 is :  0.12755240855720162\n",
      "RMSE Value for AD2703 is :  0.04633907990739461\n",
      "RMSE Value for AD2704 is :  0.07679407802607474\n",
      "RMSE Value for AD2705 is :  0.13770407426342834\n",
      "RMSE Value for AD2706 is :  0.1458254078284149\n",
      "RMSE Value for AD2707 is :  0.04633907990739461\n",
      "RMSE Value for AD2708 is :  0.08897607687354236\n",
      "RMSE Value for AD2709 is :  0.1153704087097337\n",
      "RMSE Value for AD2710 is :  0.09303674315602972\n",
      "RMSE Value for AD2711 is :  0.06867274546108915\n",
      "RMSE Value for AD2712 is :  0.07476374488482307\n",
      "RMSE Value for AD2713 is :  0.1153704087097337\n",
      "RMSE Value for AD2714 is :  0.13770407426342834\n",
      "RMSE Value for AD2715 is :  0.09303674315602972\n",
      "RMSE Value for AD2716 is :  0.13770407426342834\n",
      "RMSE Value for AD2717 is :  0.12958274169844974\n",
      "RMSE Value for AD2718 is :  0.133643407980939\n",
      "RMSE Value for AD2719 is :  0.048369413048634735\n",
      "RMSE Value for AD2720 is :  0.10724907614475243\n",
      "RMSE Value for AD2721 is :  0.15191640725214584\n",
      "RMSE Value for AD2722 is :  0.07476374488482307\n",
      "RMSE Value for AD2723 is :  0.04227841262490628\n",
      "RMSE Value for AD2724 is :  0.1559770735346392\n",
      "RMSE Value for AD2725 is :  0.04633907990739461\n",
      "RMSE Value for AD2726 is :  0.026035747494939976\n",
      "RMSE Value for AD2727 is :  0.08288507744980356\n",
      "RMSE Value for AD2728 is :  0.03212674691867812\n",
      "RMSE Value for AD2729 is :  0.109279409285993\n",
      "RMSE Value for AD2730 is :  0.16206807295837017\n",
      "RMSE Value for AD2731 is :  0.1316130748396901\n",
      "RMSE Value for AD2732 is :  0.08288507744980356\n",
      "RMSE Value for AD2733 is :  0.07882441116731154\n",
      "RMSE Value for AD2734 is :  0.109279409285993\n",
      "RMSE Value for AD2735 is :  0.15394674039339162\n",
      "RMSE Value for AD2736 is :  0.14785574096965393\n",
      "RMSE Value for AD2737 is :  0.12349174227471205\n",
      "RMSE Value for AD2738 is :  0.133643407980939\n"
     ]
    }
   ],
   "source": [
    "# The below for loop will output RMSE Value for each Stock(3331 Stocks). \n",
    "# And all the values are nearer to zero as they should be.\n",
    "\n",
    "for i in cols:\n",
    "    print('RMSE Value for', i, 'is : ', sqrt(mean_squared_error(pred[i], valid[i])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dental-fitting",
   "metadata": {},
   "source": [
    "## 5. Predicting Pull-Call Value on August 16th"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "wanted-vision",
   "metadata": {},
   "source": [
    "Now we are feeding our model complete data (from 10th Aug to 15th Aug) and it's gonna output or predictions for 16Th August"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "higher-condition",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.09334771, 1.21766081, 1.35187101, ..., 0.82400267, 1.07262886,\n",
       "        0.96903462]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = VAR(endog=data)\n",
    "model_fit = model.fit()\n",
    "aug16 = model_fit.forecast(model_fit.endog, steps=1)\n",
    "aug16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "medical-mozambique",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stock Index</th>\n",
       "      <th>AC3235</th>\n",
       "      <th>AC3236</th>\n",
       "      <th>AC3237</th>\n",
       "      <th>AC3238</th>\n",
       "      <th>AC3239</th>\n",
       "      <th>AC3240</th>\n",
       "      <th>AC3241</th>\n",
       "      <th>AC3242</th>\n",
       "      <th>AC3243</th>\n",
       "      <th>AC3244</th>\n",
       "      <th>...</th>\n",
       "      <th>AD2729</th>\n",
       "      <th>AD2730</th>\n",
       "      <th>AD2731</th>\n",
       "      <th>AD2732</th>\n",
       "      <th>AD2733</th>\n",
       "      <th>AD2734</th>\n",
       "      <th>AD2735</th>\n",
       "      <th>AD2736</th>\n",
       "      <th>AD2737</th>\n",
       "      <th>AD2738</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-16</th>\n",
       "      <td>1.093348</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>1.351871</td>\n",
       "      <td>1.694194</td>\n",
       "      <td>1.859945</td>\n",
       "      <td>1.942821</td>\n",
       "      <td>1.984258</td>\n",
       "      <td>1.507725</td>\n",
       "      <td>1.507725</td>\n",
       "      <td>1.56153</td>\n",
       "      <td>...</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>0.678971</td>\n",
       "      <td>0.989753</td>\n",
       "      <td>1.487006</td>\n",
       "      <td>1.528444</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>0.761846</td>\n",
       "      <td>0.824003</td>\n",
       "      <td>1.072629</td>\n",
       "      <td>0.969035</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 3331 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Stock Index    AC3235    AC3236    AC3237    AC3238    AC3239    AC3240  \\\n",
       "2020-08-16   1.093348  1.217661  1.351871  1.694194  1.859945  1.942821   \n",
       "\n",
       "Stock Index    AC3241    AC3242    AC3243   AC3244  ...    AD2729    AD2730  \\\n",
       "2020-08-16   1.984258  1.507725  1.507725  1.56153  ...  1.217661  0.678971   \n",
       "\n",
       "Stock Index    AD2731    AD2732    AD2733    AD2734    AD2735    AD2736  \\\n",
       "2020-08-16   0.989753  1.487006  1.528444  1.217661  0.761846  0.824003   \n",
       "\n",
       "Stock Index    AD2737    AD2738  \n",
       "2020-08-16   1.072629  0.969035  \n",
       "\n",
       "[1 rows x 3331 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the ARRAY into DataFrame and setting indexes and columns\n",
    "\n",
    "aug16 = pd.DataFrame(aug16,index=[datetime.datetime(2020, 8, 16)],columns = valid.columns)\n",
    "aug16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "absent-immune",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Appending the 16th August Prediction to initial Datset so that we aquire complete Time-Series DataSet\n",
    "\n",
    "complete_data = data.append(aug16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "solar-ability",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stock Index</th>\n",
       "      <th>AC3235</th>\n",
       "      <th>AC3236</th>\n",
       "      <th>AC3237</th>\n",
       "      <th>AC3238</th>\n",
       "      <th>AC3239</th>\n",
       "      <th>AC3240</th>\n",
       "      <th>AC3241</th>\n",
       "      <th>AC3242</th>\n",
       "      <th>AC3243</th>\n",
       "      <th>AC3244</th>\n",
       "      <th>...</th>\n",
       "      <th>AD2729</th>\n",
       "      <th>AD2730</th>\n",
       "      <th>AD2731</th>\n",
       "      <th>AD2732</th>\n",
       "      <th>AD2733</th>\n",
       "      <th>AD2734</th>\n",
       "      <th>AD2735</th>\n",
       "      <th>AD2736</th>\n",
       "      <th>AD2737</th>\n",
       "      <th>AD2738</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-10</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.930000</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>1.136667</td>\n",
       "      <td>1.183333</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.670000</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.740000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11</th>\n",
       "      <td>0.660000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.816000</td>\n",
       "      <td>1.008000</td>\n",
       "      <td>1.104000</td>\n",
       "      <td>1.152000</td>\n",
       "      <td>1.176000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.984000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.888000</td>\n",
       "      <td>0.912000</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>0.468000</td>\n",
       "      <td>0.504000</td>\n",
       "      <td>0.648000</td>\n",
       "      <td>0.588000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-12</th>\n",
       "      <td>0.772400</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.950240</td>\n",
       "      <td>1.169120</td>\n",
       "      <td>1.278560</td>\n",
       "      <td>1.333280</td>\n",
       "      <td>1.360640</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.046000</td>\n",
       "      <td>1.066520</td>\n",
       "      <td>...</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.498800</td>\n",
       "      <td>0.704000</td>\n",
       "      <td>1.032320</td>\n",
       "      <td>1.059680</td>\n",
       "      <td>0.854480</td>\n",
       "      <td>0.553520</td>\n",
       "      <td>0.594560</td>\n",
       "      <td>0.758720</td>\n",
       "      <td>0.690320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-13</th>\n",
       "      <td>0.983224</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>1.207302</td>\n",
       "      <td>1.483091</td>\n",
       "      <td>1.620986</td>\n",
       "      <td>1.689933</td>\n",
       "      <td>1.724406</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.327960</td>\n",
       "      <td>1.448618</td>\n",
       "      <td>...</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.638488</td>\n",
       "      <td>0.897040</td>\n",
       "      <td>1.310723</td>\n",
       "      <td>1.345197</td>\n",
       "      <td>1.086645</td>\n",
       "      <td>0.707435</td>\n",
       "      <td>0.759146</td>\n",
       "      <td>0.965987</td>\n",
       "      <td>0.879803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-14</th>\n",
       "      <td>0.901211</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>1.239052</td>\n",
       "      <td>1.461062</td>\n",
       "      <td>1.615504</td>\n",
       "      <td>1.692725</td>\n",
       "      <td>1.731335</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.287315</td>\n",
       "      <td>1.316273</td>\n",
       "      <td>...</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.515107</td>\n",
       "      <td>0.804685</td>\n",
       "      <td>1.268010</td>\n",
       "      <td>1.306620</td>\n",
       "      <td>1.017042</td>\n",
       "      <td>0.592327</td>\n",
       "      <td>0.650243</td>\n",
       "      <td>0.881906</td>\n",
       "      <td>0.785380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-15</th>\n",
       "      <td>0.898368</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>1.181962</td>\n",
       "      <td>1.531000</td>\n",
       "      <td>1.705519</td>\n",
       "      <td>1.792779</td>\n",
       "      <td>1.836409</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.334666</td>\n",
       "      <td>1.487370</td>\n",
       "      <td>...</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.462070</td>\n",
       "      <td>0.789294</td>\n",
       "      <td>1.312851</td>\n",
       "      <td>1.356481</td>\n",
       "      <td>1.029258</td>\n",
       "      <td>0.549330</td>\n",
       "      <td>0.614775</td>\n",
       "      <td>0.876553</td>\n",
       "      <td>0.767479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-16</th>\n",
       "      <td>1.093348</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>1.351871</td>\n",
       "      <td>1.694194</td>\n",
       "      <td>1.859945</td>\n",
       "      <td>1.942821</td>\n",
       "      <td>1.984258</td>\n",
       "      <td>1.507725</td>\n",
       "      <td>1.507725</td>\n",
       "      <td>1.561530</td>\n",
       "      <td>...</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>0.678971</td>\n",
       "      <td>0.989753</td>\n",
       "      <td>1.487006</td>\n",
       "      <td>1.528444</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>0.761846</td>\n",
       "      <td>0.824003</td>\n",
       "      <td>1.072629</td>\n",
       "      <td>0.969035</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 3331 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Stock Index    AC3235    AC3236    AC3237    AC3238    AC3239    AC3240  \\\n",
       "2020-08-10   0.800000  0.860000  0.930000  1.090000  1.136667  1.183333   \n",
       "2020-08-11   0.660000  0.732000  0.816000  1.008000  1.104000  1.152000   \n",
       "2020-08-12   0.772400  0.854480  0.950240  1.169120  1.278560  1.333280   \n",
       "2020-08-13   0.983224  1.086645  1.207302  1.483091  1.620986  1.689933   \n",
       "2020-08-14   0.901211  1.017042  1.239052  1.461062  1.615504  1.692725   \n",
       "2020-08-15   0.898368  1.029258  1.181962  1.531000  1.705519  1.792779   \n",
       "2020-08-16   1.093348  1.217661  1.351871  1.694194  1.859945  1.942821   \n",
       "\n",
       "Stock Index    AC3241    AC3242    AC3243    AC3244  ...    AD2729    AD2730  \\\n",
       "2020-08-10   1.230000  1.000000  1.000000  1.070000  ...  0.860000  0.600000   \n",
       "2020-08-11   1.176000  0.900000  0.900000  0.984000  ...  0.732000  0.420000   \n",
       "2020-08-12   1.360640  1.046000  1.046000  1.066520  ...  0.854480  0.498800   \n",
       "2020-08-13   1.724406  1.327960  1.327960  1.448618  ...  1.086645  0.638488   \n",
       "2020-08-14   1.731335  1.287315  1.287315  1.316273  ...  1.017042  0.515107   \n",
       "2020-08-15   1.836409  1.334666  1.334666  1.487370  ...  1.029258  0.462070   \n",
       "2020-08-16   1.984258  1.507725  1.507725  1.561530  ...  1.217661  0.678971   \n",
       "\n",
       "Stock Index    AD2731    AD2732    AD2733    AD2734    AD2735    AD2736  \\\n",
       "2020-08-10   0.750000  0.990000  1.010000  0.860000  0.640000  0.670000   \n",
       "2020-08-11   0.600000  0.888000  0.912000  0.732000  0.468000  0.504000   \n",
       "2020-08-12   0.704000  1.032320  1.059680  0.854480  0.553520  0.594560   \n",
       "2020-08-13   0.897040  1.310723  1.345197  1.086645  0.707435  0.759146   \n",
       "2020-08-14   0.804685  1.268010  1.306620  1.017042  0.592327  0.650243   \n",
       "2020-08-15   0.789294  1.312851  1.356481  1.029258  0.549330  0.614775   \n",
       "2020-08-16   0.989753  1.487006  1.528444  1.217661  0.761846  0.824003   \n",
       "\n",
       "Stock Index    AD2737    AD2738  \n",
       "2020-08-10   0.790000  0.740000  \n",
       "2020-08-11   0.648000  0.588000  \n",
       "2020-08-12   0.758720  0.690320  \n",
       "2020-08-13   0.965987  0.879803  \n",
       "2020-08-14   0.881906  0.785380  \n",
       "2020-08-15   0.876553  0.767479  \n",
       "2020-08-16   1.072629  0.969035  \n",
       "\n",
       "[7 rows x 3331 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complete_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "authentic-dance",
   "metadata": {},
   "source": [
    "## 6. Plotting the Predicted Values\n",
    "Below is the plot for 12 Stocks as plotting all 3331 stocks would be time/power consuming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "english-edwards",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pt = complete_data.iloc[:,:12].plot()\n",
    "plt.title(\"Pull/Call Value Forecast\")\n",
    "plt.legend(loc=5,bbox_to_anchor=(1.3, 0.5))\n",
    "plt.axvline(datetime.datetime(2020, 8, 15),linestyle='--',color='black');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "overall-button",
   "metadata": {},
   "source": [
    "The values right to the dotted lines are predicted by the model i.e. \"16th Aug\" Values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "accessible-secret",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Stock Index</th>\n",
       "      <th>AC3235</th>\n",
       "      <th>AC3236</th>\n",
       "      <th>AC3237</th>\n",
       "      <th>AC3238</th>\n",
       "      <th>AC3239</th>\n",
       "      <th>AC3240</th>\n",
       "      <th>AC3241</th>\n",
       "      <th>AC3242</th>\n",
       "      <th>AC3243</th>\n",
       "      <th>AC3244</th>\n",
       "      <th>...</th>\n",
       "      <th>AD2729</th>\n",
       "      <th>AD2730</th>\n",
       "      <th>AD2731</th>\n",
       "      <th>AD2732</th>\n",
       "      <th>AD2733</th>\n",
       "      <th>AD2734</th>\n",
       "      <th>AD2735</th>\n",
       "      <th>AD2736</th>\n",
       "      <th>AD2737</th>\n",
       "      <th>AD2738</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-16</th>\n",
       "      <td>1.093348</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>1.351871</td>\n",
       "      <td>1.694194</td>\n",
       "      <td>1.859945</td>\n",
       "      <td>1.942821</td>\n",
       "      <td>1.984258</td>\n",
       "      <td>1.507725</td>\n",
       "      <td>1.507725</td>\n",
       "      <td>1.56153</td>\n",
       "      <td>...</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>0.678971</td>\n",
       "      <td>0.989753</td>\n",
       "      <td>1.487006</td>\n",
       "      <td>1.528444</td>\n",
       "      <td>1.217661</td>\n",
       "      <td>0.761846</td>\n",
       "      <td>0.824003</td>\n",
       "      <td>1.072629</td>\n",
       "      <td>0.969035</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 3331 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Stock Index    AC3235    AC3236    AC3237    AC3238    AC3239    AC3240  \\\n",
       "2020-08-16   1.093348  1.217661  1.351871  1.694194  1.859945  1.942821   \n",
       "\n",
       "Stock Index    AC3241    AC3242    AC3243   AC3244  ...    AD2729    AD2730  \\\n",
       "2020-08-16   1.984258  1.507725  1.507725  1.56153  ...  1.217661  0.678971   \n",
       "\n",
       "Stock Index    AD2731    AD2732    AD2733    AD2734    AD2735    AD2736  \\\n",
       "2020-08-16   0.989753  1.487006  1.528444  1.217661  0.761846  0.824003   \n",
       "\n",
       "Stock Index    AD2737    AD2738  \n",
       "2020-08-16   1.072629  0.969035  \n",
       "\n",
       "[1 rows x 3331 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aug16.to_csv(\"Answer_files/file_02.csv\",index=True)\n",
    "#Finally The predicted values are exported as .csv file\n",
    "aug16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "broken-engine",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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