Consider using hypothesis for the evaluation metrics tests

[fluegelk]

hypothesis seems like a great fit for the evaluation metric tests as all metrics can be compared against sklearn's implementation from sample-wise inputs, i.e., the following assumption should hold:

sklearn.metric.<metric>(y_true, y_pred) == evaluation_metrics.<metric>(sklearn.metric.confusion_matrix(y_true, y_pred))