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04-decision-trees.Rmd

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## Load data
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Load the training and test x and y variables we created in 02-preprocessing.Rmd for this *classification* task.
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Load `train_x_class`, `train_y_class`, `test_x_class`, and `test_y_class` variables we defined in 02-preprocessing.Rmd for this *classification* task.
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```{r setup_data}
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# Objects: task_reg, task_class

05-random-forest.Rmd

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## Load data
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Load the training and test x and y variables we created in 02-preprocessing.Rmd for this *classification* task.
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Load `train_x_class`, `train_y_class`, `test_x_class`, and `test_y_class` variables we defined in 02-preprocessing.Rmd for this *classification* task.
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```{r setup_data}
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# Objects: task_reg, task_class

06-xgboost.Rmd

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## Load data
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Load the training and test x and y variables we created in 02-preprocessing.Rmd for this *classification* task.
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Load `train_x_class`, `train_y_class`, `test_x_class`, and `test_y_class` variables we defined in 02-preprocessing.Rmd for this *classification* task.
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```{r setup_data}
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# Objects: task_reg, task_class

07-ensembles.Rmd

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## Load data
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12-
Load the training and test x and y variables we created in 02-preprocessing.Rmd for this *classification* task.
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Load `train_x_class`, `train_y_class`, `test_x_class`, and `test_y_class` variables we defined in 02-preprocessing.Rmd for this *classification* task.
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```{r setup_data}
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# Objects: task_reg, task_class

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