Rapid Calculation of Model Metrics
Log Loss
Mean absolute error
Multiclass Area Under the Curve
Matthews Correlation Coefficient
Multiclass Log Loss
Mean Square Error
Mean Squared Log Error
Negative Predictive Value
Positive Predictive Value
Recall, Sensitivity, tpr
Root-Mean Square Error
Root Mean Squared Log Error
Specificity, True negative rate
Area Under the Curve
Brier Score
Classification error
Confusion Matrix
F1 Score
F Score
GINI Coefficient
kappa statistic
Collection of metrics for evaluating models written in C++ using 'Rcpp'. Popular metrics include area under the curve, log loss, root mean square error, etc.