This section contains basic information regarding the supported metrics for various machine learning problems. Regression Multiregression: objectives and metrics Classification Multiclassification Ranking

Name Used for optimization User-defined parameters Formula and/or description MultiClass + use_weights Default: true Calculation principles MultiClassOneVsAll + use_weights Default: true Calculation principles Precision – use_weights Default: true This function is calculated separately for each class k numbered from 0 to M – 1. Calculation principles Recall – use_weights Default: true This function is calculated separately for each class k numbered from 0 to M – 1. Calculation principles F1 – use_weights Default: true This function is calculated separately for each class k numbered from 0 to M – 1. Calculation principles TotalF1 – use_weights Default: true average Default: Weighted Calculation principles MCC – use_weights Default: true Calculation principles Accuracy – use_weights Default: true Calculation principles HingeLoss – use_weights Default: true See the Wikipedia article. HammingLoss – use_weights Default: true Calculation principles ZeroOneLoss – use_weights Default: true Calculation principles Kappa…