SLmetrics0.3-4 package

Machine Learning Performance Evaluation on Steroids

regression_rsq

r2r^2

regression_smape.numeric

Symmetric Mean Absolutte Percentage Error

regression_smape

Symmetric Mean Absolutte Percentage Error

regression_weighted.ccc.numeric

Concordance Correlation Coefficient

regression_weighted.deviance.gamma.numeric

Gamma Deviance

regression_weighted.deviance.poisson.numeric

Poisson Deviance

regression_weighted.deviance.tweedie.numeric

Tweedie Deviance

regression_weighted.gmse.numeric

Geometric Mean Squared Error

regression_weighted.huberloss.numeric

Huber Loss

regression_weighted.maape.numeric

Mean Arctangent Absolute Percentage Error

regression_weighted.mae.numeric

Mean Absolute Error

regression_weighted.mape.numeric

Mean Absolute Percentage Error

regression_weighted.mpe.numeric

Mean Percentage Error

regression_weighted.mse.numeric

Mean Squared Error

regression_weighted.pinball.numeric

Pinball Loss

regression_weighted.rae.numeric

Relative Absolute Error

regression_weighted.rmse.numeric

Root Mean Squared Error

regression_weighted.rmsle.numeric

Root Mean Squared Logarithmic Error

regression_weighted.rrmse.numeric

Relative Root Mean Squared Error

regression_weighted.rrse.numeric

Root Relative Squared Error

regression_weighted.rsq.numeric

r2r^2

regression_weighted.smape.numeric

Symmetric Mean Absolutte Percentage Error

SLmetrics-package

SLmetrics: Machine Learning Performance Evaluation on Steroids

tools_auc.xy.numeric

Area under the curve

tools_auc.xy

Area under the curve

utils_OpenMP

Control OpenMP

utils_preorder.matrix

Preorder Matrices

utils_preorder

Preorder Matrices

utils_presort.matrix

Presort Matrices

utils_presort

Presort Matrices

classification_accuracy.cmatrix

Accuracy

classification_accuracy.factor

Accuracy

classification_accuracy

Accuracy

classification_auc.pr.curve.factor

Area under the Precision Recall Curve

classification_auc.pr.curve

Area under the Precision Recall Curve

classification_auc.roc.curve.factor

Area under the Receiver Operator Characteristics Curve

classification_auc.roc.curve

Area under the Receiver Operator Characteristics Curve

classification_baccuracy.cmatrix

Balanced Accuracy

classification_baccuracy.factor

Balanced Accuracy

classification_baccuracy

Balanced Accuracy

classification_brier.score.matrix

Brier Score

classification_brier.score

Brier Score

classification_ckappa.cmatrix

Cohen's κ\kappa-Statistic

classification_ckappa.factor

Cohen's κ\kappa-Statistic

classification_ckappa

Cohen's κ\kappa-Statistic

classification_cmatrix.factor

Confusion Matrix

classification_cmatrix

Confusion Matrix

classification_cross.entropy.matrix

Cross Entropy

classification_cross.entropy

Cross Entropy

classification_dor.cmatrix

Diagnostic Odds Ratio

classification_dor.factor

Diagnostic Odds Ratio

classification_dor

Diagnostic Odds Ratio

classification_fbeta.cmatrix

fβf_{\beta}

classification_fbeta.factor

fβf_{\beta}

classification_fbeta

fβf_{\beta}

classification_fdr.cmatrix

False Discovery Rate

classification_fdr.factor

False Discovery Rate

classification_fdr

False Discovery Rate

classification_fer.cmatrix

False Omission Rate

classification_fer.factor

False Omission Rate

classification_fer

False Omission Rate

classification_fmi.cmatrix

Fowlkes Mallows Index

classification_fmi.factor

Fowlkes Mallows Index

classification_fmi

Fowlkes Mallows Index

classification_fpr.cmatrix

False Positive Rate

classification_fpr.factor

False Positive Rate

classification_fpr

False Positive Rate

classification_hammingloss.cmatrix

Hamming Loss

classification_hammingloss.factor

Hamming Loss

classification_hammingloss

Hamming Loss

classification_jaccard.cmatrix

Jaccard Index

classification_jaccard.factor

Jaccard Index

classification_jaccard

Jaccard Index

classification_logloss.factor

Logarithmic Loss

classification_logloss.integer

Logarithmic Loss

classification_logloss

Logarithmic Loss

classification_mcc.cmatrix

Matthews Correlation Coefficient

classification_mcc.factor

Matthews Correlation Coefficient

classification_mcc

Matthews Correlation Coefficient

classification_nlr.cmatrix

Negative Likelihood Ratio

classification_nlr.factor

Negative Likelihood Ratio

classification_nlr

Negative Likelihood Ratio

classification_npv.cmatrix

Negative Predictive Value

classification_npv.factor

Negative Predictive Value

classification_npv

Negative Predictive Value

classification_plr.cmatrix

Positive Likelihood Ratio

classification_plr.factor

Positive Likelihood Ratio

classification_plr

Positive Likelihood Ratio

classification_pr.curve.factor

Precision Recall Curve

classification_pr.curve

Precision Recall Curve

classification_precision.cmatrix

Precision

classification_precision.factor

Precision

classification_precision

Precision

classification_recall.cmatrix

Recall

classification_recall.factor

Recall

classification_recall

Recall

classification_relative.entropy.matrix

Relative Entropy

classification_relative.entropy

Relative Entropy

classification_roc.curve.factor

Reciever Operator Characteristics

classification_roc.curve

Reciever Operator Characteristics

classification_shannon.entropy.matrix

Shannon Entropy

classification_shannon.entropy

Shannon Entropy

classification_specificity.cmatrix

Specificity

classification_specificity.factor

Specificity

classification_specificity

Specificity

classification_weighted.accuracy.factor

Accuracy

classification_weighted.auc.pr.curve.factor

Area under the Precision Recall Curve

classification_weighted.auc.roc.curve.factor

Area under the Receiver Operator Characteristics Curve

classification_weighted.baccuracy.factor

Balanced Accuracy

classification_weighted.brier.score.matrix

Brier Score

classification_weighted.ckappa.factor

Cohen's κ\kappa-Statistic

classification_weighted.cmatrix.factor

Confusion Matrix

classification_weighted.dor.factor

Positive Likelihood Ratio

classification_weighted.fbeta.factor

fβf_{\beta}

classification_weighted.fdr.factor

False Discovery Rate

classification_weighted.fer.factor

False Omission Rate

classification_weighted.fmi.factor

Fowlkes Mallows Index

classification_weighted.fpr.factor

False Positive Rate

classification_weighted.hammingloss.factor

Hamming Loss

classification_weighted.jaccard.factor

Jaccard Index

classification_weighted.logloss.factor

Logarithmic Loss

classification_weighted.logloss.integer

Logarithmic Loss

classification_weighted.mcc.factor

Matthews Correlation Coefficient

classification_weighted.nlr.factor

Negative Likelihood Ratio

classification_weighted.npv.factor

Negative Predictive Value

classification_weighted.plr.factor

Positive Likelihood Ratio

classification_weighted.pr.curve.factor

Precision Recall Curve

classification_weighted.precision.factor

Precision

classification_weighted.recall.factor

Recall

classification_weighted.roc.curve.factor

Reciever Operator Characteristics

classification_weighted.specificity.factor

Specificity

classification_weighted.zerooneloss.factor

Zero-One Loss

classification_zerooneloss.cmatrix

Zero-One Loss

classification_zerooneloss.factor

Zero-One Loss

classification_zerooneloss

Zero-One Loss

data_banknote

Banknote authentication dataset

data_obesity

Obesity levels dataset

data_wine.quality

Wine quality dataset

regression_ccc.numeric

Concordance Correlation Coefficient

regression_ccc

Concordance Correlation Coefficient

regression_deviance.gamma.numeric

Gamma Deviance

regression_deviance.gamma

Gamma Deviance

regression_deviance.poisson.numeric

Poisson Deviance

regression_deviance.poisson

Poisson Deviance

regression_deviance.tweedie.numeric

Tweedie Deviance

regression_deviance.tweedie

Tweedie Deviance

regression_gmse.numeric

Geometric Mean Squared Error

regression_gmse

Geometric Mean Squared Error

regression_huberloss.numeric

Huber Loss

regression_huberloss

Huber Loss

regression_maape.numeric

Mean Arctangent Absolute Percentage Error

regression_maape

Mean Arctangent Absolute Percentage Error

regression_mae.numeric

Mean Absolute Error

regression_mae

Mean Absolute Error

regression_mape.numeric

Mean Absolute Percentage Error

regression_mape

Mean Absolute Percentage Error

regression_mpe.numeric

Mean Percentage Error

regression_mpe

Mean Percentage Error

regression_mse.numeric

Mean Squared Error

regression_mse

Mean Squared Error

regression_pinball.numeric

Pinball Loss

regression_pinball

Pinball Loss

regression_rae.numeric

Relative Absolute Error

regression_rae

Relative Absolute Error

regression_rmse.numeric

Root Mean Squared Error

regression_rmse

Root Mean Squared Error

regression_rmsle.numeric

Root Mean Squared Logarithmic Error

regression_rmsle

Root Mean Squared Logarithmic Error

regression_rrmse.numeric

Relative Root Mean Squared Error

regression_rrmse

Relative Root Mean Squared Error

regression_rrse.numeric

Root Relative Squared Error

regression_rrse

Root Relative Squared Error

regression_rsq.numeric

r2r^2

Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.

  • Maintainer: Serkan Korkmaz
  • License: GPL (>= 3)
  • Last published: 2025-06-21