A B C D F G H J L M N O P R S T W Z
| accuracy | Accuracy |
| accuracy.cmatrix | Accuracy |
| accuracy.factor | Accuracy |
| auc.pr.curve | Area under the Precision Recall Curve |
| auc.pr.curve.factor | Area under the Precision Recall Curve |
| auc.roc.curve | Area under the Receiver Operator Characteristics Curve |
| auc.roc.curve.factor | Area under the Receiver Operator Characteristics Curve |
| auc.xy | Area under the curve |
| auc.xy.numeric | Area under the curve |
| baccuracy | Balanced Accuracy |
| baccuracy.cmatrix | Balanced Accuracy |
| baccuracy.factor | Balanced Accuracy |
| banknote | Banknote authentication dataset |
| brier.score | Brier Score |
| brier.score.matrix | Brier Score |
| ccc | Concordance Correlation Coefficient |
| ccc.numeric | Concordance Correlation Coefficient |
| ckappa | Cohen's kappa-Statistic |
| ckappa.cmatrix | Cohen's kappa-Statistic |
| ckappa.factor | Cohen's kappa-Statistic |
| cmatrix | Confusion Matrix |
| cmatrix.factor | Confusion Matrix |
| cross.entropy | Cross Entropy |
| cross.entropy.matrix | Cross Entropy |
| csi | Jaccard Index |
| deviance.gamma | Gamma Deviance |
| deviance.gamma.numeric | Gamma Deviance |
| deviance.poisson | Poisson Deviance |
| deviance.poisson.numeric | Poisson Deviance |
| deviance.tweedie | Tweedie Deviance |
| deviance.tweedie.numeric | Tweedie Deviance |
| dor | Diagnostic Odds Ratio |
| dor.cmatrix | Diagnostic Odds Ratio |
| dor.factor | Diagnostic Odds Ratio |
| fallout | False Positive Rate |
| fbeta | f_{beta} |
| fbeta.cmatrix | f_{beta} |
| fbeta.factor | f_{beta} |
| fdr | False Discovery Rate |
| fdr.cmatrix | False Discovery Rate |
| fdr.factor | False Discovery Rate |
| fer | False Omission Rate |
| fer.cmatrix | False Omission Rate |
| fer.factor | False Omission Rate |
| fmi | Fowlkes Mallows Index |
| fmi.cmatrix | Fowlkes Mallows Index |
| fmi.factor | Fowlkes Mallows Index |
| fpr | False Positive Rate |
| fpr.cmatrix | False Positive Rate |
| fpr.factor | False Positive Rate |
| gmse | Geometric Mean Squared Error |
| gmse.numeric | Geometric Mean Squared Error |
| hammingloss | Hamming Loss |
| hammingloss.cmatrix | Hamming Loss |
| hammingloss.factor | Hamming Loss |
| huberloss | Huber Loss |
| huberloss.numeric | Huber Loss |
| jaccard | Jaccard Index |
| jaccard.cmatrix | Jaccard Index |
| jaccard.factor | Jaccard Index |
| logloss | Logarithmic Loss |
| logloss.factor | Logarithmic Loss |
| logloss.integer | Logarithmic Loss |
| maape | Mean Arctangent Absolute Percentage Error |
| maape.numeric | Mean Arctangent Absolute Percentage Error |
| mae | Mean Absolute Error |
| mae.numeric | Mean Absolute Error |
| mape | Mean Absolute Percentage Error |
| mape.numeric | Mean Absolute Percentage Error |
| mcc | Matthews Correlation Coefficient |
| mcc.cmatrix | Matthews Correlation Coefficient |
| mcc.factor | Matthews Correlation Coefficient |
| mpe | Mean Percentage Error |
| mpe.numeric | Mean Percentage Error |
| mse | Mean Squared Error |
| mse.numeric | Mean Squared Error |
| nlr | Negative Likelihood Ratio |
| nlr.cmatrix | Negative Likelihood Ratio |
| nlr.factor | Negative Likelihood Ratio |
| npv | Negative Predictive Value |
| npv.cmatrix | Negative Predictive Value |
| npv.factor | Negative Predictive Value |
| obesity | Obesity levels dataset |
| OpenMP | Control OpenMP |
| openmp.off | Control OpenMP |
| openmp.on | Control OpenMP |
| openmp.threads | Control OpenMP |
| phi | Matthews Correlation Coefficient |
| pinball | Pinball Loss |
| pinball.numeric | Pinball Loss |
| plr | Positive Likelihood Ratio |
| plr.cmatrix | Positive Likelihood Ratio |
| plr.factor | Positive Likelihood Ratio |
| ppv | Precision |
| pr.curve | Precision Recall Curve |
| pr.curve.factor | Precision Recall Curve |
| precision | Precision |
| precision.cmatrix | Precision |
| precision.factor | Precision |
| preorder | Preorder Matrices |
| preorder.matrix | Preorder Matrices |
| presort | Presort Matrices |
| presort.matrix | Presort Matrices |
| rae | Relative Absolute Error |
| rae.numeric | Relative Absolute Error |
| recall | Recall |
| recall.cmatrix | Recall |
| recall.factor | Recall |
| relative.entropy | Relative Entropy |
| relative.entropy.matrix | Relative Entropy |
| rmse | Root Mean Squared Error |
| rmse.numeric | Root Mean Squared Error |
| rmsle | Root Mean Squared Logarithmic Error |
| rmsle.numeric | Root Mean Squared Logarithmic Error |
| roc.curve | Reciever Operator Characteristics |
| roc.curve.factor | Reciever Operator Characteristics |
| rrmse | Relative Root Mean Squared Error |
| rrmse.numeric | Relative Root Mean Squared Error |
| rrse | Root Relative Squared Error |
| rrse.numeric | Root Relative Squared Error |
| rsq | r^2 |
| rsq.numeric | r^2 |
| selectivity | Specificity |
| sensitivity | Recall |
| shannon.entropy | Shannon Entropy |
| shannon.entropy.matrix | Shannon Entropy |
| smape | Symmetric Mean Absolutte Percentage Error |
| smape.numeric | Symmetric Mean Absolutte Percentage Error |
| specificity | Specificity |
| specificity.cmatrix | Specificity |
| specificity.factor | Specificity |
| tnr | Specificity |
| tpr | Recall |
| tscore | Jaccard Index |
| weighted.accuracy | Accuracy |
| weighted.accuracy.factor | Accuracy |
| weighted.auc.pr.curve | Area under the Precision Recall Curve |
| weighted.auc.pr.curve.factor | Area under the Precision Recall Curve |
| weighted.auc.roc.curve | Area under the Receiver Operator Characteristics Curve |
| weighted.auc.roc.curve.factor | Area under the Receiver Operator Characteristics Curve |
| weighted.baccuracy | Balanced Accuracy |
| weighted.baccuracy.factor | Balanced Accuracy |
| weighted.brier.score | Brier Score |
| weighted.brier.score.matrix | Brier Score |
| weighted.ccc | Concordance Correlation Coefficient |
| weighted.ccc.numeric | Concordance Correlation Coefficient |
| weighted.ckappa | Cohen's kappa-Statistic |
| weighted.ckappa.factor | Cohen's kappa-Statistic |
| weighted.cmatrix | Confusion Matrix |
| weighted.cmatrix.factor | Confusion Matrix |
| weighted.csi | Jaccard Index |
| weighted.deviance.gamma | Gamma Deviance |
| weighted.deviance.gamma.numeric | Gamma Deviance |
| weighted.deviance.poisson | Poisson Deviance |
| weighted.deviance.poisson.numeric | Poisson Deviance |
| weighted.deviance.tweedie | Tweedie Deviance |
| weighted.deviance.tweedie.numeric | Tweedie Deviance |
| weighted.dor | Positive Likelihood Ratio |
| weighted.dor.factor | Positive Likelihood Ratio |
| weighted.fallout | False Positive Rate |
| weighted.fbeta | f_{beta} |
| weighted.fbeta.factor | f_{beta} |
| weighted.fdr | False Discovery Rate |
| weighted.fdr.factor | False Discovery Rate |
| weighted.fer | False Omission Rate |
| weighted.fer.factor | False Omission Rate |
| weighted.fmi | Fowlkes Mallows Index |
| weighted.fmi.factor | Fowlkes Mallows Index |
| weighted.fpr | False Positive Rate |
| weighted.fpr.factor | False Positive Rate |
| weighted.gmse | Geometric Mean Squared Error |
| weighted.gmse.numeric | Geometric Mean Squared Error |
| weighted.hammingloss | Hamming Loss |
| weighted.hammingloss.factor | Hamming Loss |
| weighted.huberloss | Huber Loss |
| weighted.huberloss.numeric | Huber Loss |
| weighted.jaccard | Jaccard Index |
| weighted.jaccard.factor | Jaccard Index |
| weighted.logloss | Logarithmic Loss |
| weighted.logloss.factor | Logarithmic Loss |
| weighted.logloss.integer | Logarithmic Loss |
| weighted.maape | Mean Arctangent Absolute Percentage Error |
| weighted.maape.numeric | Mean Arctangent Absolute Percentage Error |
| weighted.mae | Mean Absolute Error |
| weighted.mae.numeric | Mean Absolute Error |
| weighted.mape | Mean Absolute Percentage Error |
| weighted.mape.numeric | Mean Absolute Percentage Error |
| weighted.mcc | Matthews Correlation Coefficient |
| weighted.mcc.factor | Matthews Correlation Coefficient |
| weighted.mpe | Mean Percentage Error |
| weighted.mpe.numeric | Mean Percentage Error |
| weighted.mse | Mean Squared Error |
| weighted.mse.numeric | Mean Squared Error |
| weighted.nlr | Negative Likelihood Ratio |
| weighted.nlr.factor | Negative Likelihood Ratio |
| weighted.npv | Negative Predictive Value |
| weighted.npv.factor | Negative Predictive Value |
| weighted.phi | Matthews Correlation Coefficient |
| weighted.pinball | Pinball Loss |
| weighted.pinball.numeric | Pinball Loss |
| weighted.plr | Positive Likelihood Ratio |
| weighted.plr.factor | Positive Likelihood Ratio |
| weighted.ppv | Precision |
| weighted.pr.curve | Precision Recall Curve |
| weighted.pr.curve.factor | Precision Recall Curve |
| weighted.precision | Precision |
| weighted.precision.factor | Precision |
| weighted.rae | Relative Absolute Error |
| weighted.rae.numeric | Relative Absolute Error |
| weighted.recall | Recall |
| weighted.recall.factor | Recall |
| weighted.rmse | Root Mean Squared Error |
| weighted.rmse.numeric | Root Mean Squared Error |
| weighted.rmsle | Root Mean Squared Logarithmic Error |
| weighted.rmsle.numeric | Root Mean Squared Logarithmic Error |
| weighted.roc.curve | Reciever Operator Characteristics |
| weighted.roc.curve.factor | Reciever Operator Characteristics |
| weighted.rrmse | Relative Root Mean Squared Error |
| weighted.rrmse.numeric | Relative Root Mean Squared Error |
| weighted.rrse | Root Relative Squared Error |
| weighted.rrse.numeric | Root Relative Squared Error |
| weighted.rsq | r^2 |
| weighted.rsq.numeric | r^2 |
| weighted.selectivity | Specificity |
| weighted.sensitivity | Recall |
| weighted.smape | Symmetric Mean Absolutte Percentage Error |
| weighted.smape.numeric | Symmetric Mean Absolutte Percentage Error |
| weighted.specificity | Specificity |
| weighted.specificity.factor | Specificity |
| weighted.tnr | Specificity |
| weighted.tpr | Recall |
| weighted.tscore | Jaccard Index |
| weighted.zerooneloss | Zero-One Loss |
| weighted.zerooneloss.factor | Zero-One Loss |
| wine.quality | Wine quality dataset |
| zerooneloss | Zero-One Loss |
| zerooneloss.cmatrix | Zero-One Loss |
| zerooneloss.factor | Zero-One Loss |