ROC.factor              Receiver Operator Characteristics
accuracy.factor         Accuracy
auc.numeric             AUC
baccuracy.factor        Balanced Accuracy
banknote                Banknote Authentication Dataset
ccc.numeric             Concordance Correlation Coefficient
ckappa.factor           Cohen's kappa-statistic
cmatrix.factor          Confusion Matrix
dor.factor              Diagnostic Odds Ratio
entropy.matrix          Entropy
fbeta.factor            F_{beta}-score
fdr.factor              false discovery rate
fer.factor              False Omission Rate
fmi.factor              Fowlkes-Mallows Index
fpr.factor              False Positive Rate
huberloss.numeric       Huber Loss
jaccard.factor          Jaccard Index
logloss.factor          Log Loss
mae.numeric             Mean Absolute Error
mape.numeric            Mean Absolute Percentage Error
mcc.factor              Matthews Correlation Coefficient
mpe.numeric             Mean Percentage Error
mse.numeric             Mean Squared Error
nlr.factor              Negative Likelihood Ratio
npv.factor              Negative Predictive Value
obesity                 Obesity Levels Dataset
openmp.on               Use OpenMP
pinball.numeric         Pinball Loss
plr.factor              Positive Likelihood Ratio
pr.auc.matrix           Area under the Precision-Recall Curve
prROC.factor            Precision-Recall Curve
precision.factor        Precision
preorder                Preorder
presort                 Presort
rae.numeric             Relative Absolute Error
recall.factor           Recall
rmse.numeric            Root Mean Squared Error
rmsle.numeric           Root Mean Squared Logarithmic Error
roc.auc.matrix          Area under the Receiver Operator
                        Characteristics Curve
rrmse.numeric           Relative Root Mean Squared Error
rrse.numeric            Root Relative Squared Error
rsq.numeric             R^2
smape.numeric           Symmetric Mean Absolutte Percentage Error
specificity.factor      Specificity
wine_quality            Wine Quality Dataset
zerooneloss.factor      Zero-One Loss
