Classification MetricsAccuracyConfusion MatrixPer-Class AccuracyLog-LossAUCRanking MetricsPrecision-RecallPrecision-Recall Curve and the F1 ScoreNDCGRegression MetricsRMSEQuantiles of Errors“Almost Correct” PredictionsCaution: The Difference Between Training Metrics and Evaluation MetricsCaution: Skewed Datasets—Imbalanced Classes, Outliers, and Rare DataRelated ReadingSoftware Packages