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)