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)