Evaluation Metrics
These functions are available to use with respect to the metrics and scoring approaches to quantify the quality of predictions.
 Classification

 Accuracy
 Classification Error
 Confusion Matrix
 F1 Score
 Log Loss
 Precision
 Recall
 Regression

 Explained Variance
 Half MSE (HMSE)
 Mean Absolute Deviation (MAE)
 Max Error
 Mean Squared Error (MSE)
 R2
 Root Mean Squared Error (RMSE)
 RSS (Residual Sum of Squares)