ml.metrics

Classification

recall	Return True Positive Rate.
fpr	Return False Positive Rate.
precision	Return Positive Predictive Value .
accuracy	Return accuracy.
f_score	Return F_score.
auc_roc	Return area under curve ROC (AUC-ROC metric)
roc_curve	Return dict with points at TPR - FPR coordinates
binary_classification_report	Returns dict with recall, precision, accuracy, f1, auc roc scores
best_threshold	Returns best threshold by metric by linear search

Regression

r2_score	Return R2 metric of regression
mse	Returns MSE
mae	Returns MAE
mape	Returns MAPE
regression_report	Returns dict with recall, precision, accuracy, f1, auc roc scores