Classification
‘accuracy’metrics.accuracy_score
‘balanced_accuracy’metrics.balanced_accuracy_score
‘average_precision’metrics.average_precision_score
‘neg_brier_score’metrics.brier_score_loss
‘f1’metrics.f1_scorefor binary targets
‘f1_micro’metrics.f1_scoremicro-averaged
‘f1_macro’metrics.f1_scoremacro-averaged
‘f1_weighted’metrics.f1_scoreweighted average
‘f1_samples’metrics.f1_scoreby multilabel sample
‘neg_log_loss’metrics.log_lossrequires predict_proba support
‘precision’ etc.metrics.precision_scoresuffixes apply as with ‘f1’
‘recall’ etc.metrics.recall_scoresuffixes apply as with ‘f1’
‘jaccard’ etc.metrics.jaccard_scoresuffixes apply as with ‘f1’
‘roc_auc’metrics.roc_auc_score
‘roc_auc_ovr’metrics.roc_auc_score
‘roc_auc_ovo’metrics.roc_auc_score
‘roc_auc_ovr_weighted’metrics.roc_auc_score
‘roc_auc_ovo_weighted’metrics.roc_auc_score
Clustering
‘adjusted_mutual_info_score’metrics.adjusted_mutual_info_score
‘adjusted_rand_score’metrics.adjusted_rand_score
‘completeness_score’metrics.completeness_score
‘fowlkes_mallows_score’metrics.fowlkes_mallows_score
‘homogeneity_score’metrics.homogeneity_score
‘mutual_info_score’metrics.mutual_info_score
‘normalized_mutual_info_score’metrics.normalized_mutual_info_score
‘v_measure_score’metrics.v_measure_score
Regression
‘explained_variance’metrics.explained_variance_score
‘max_error’metrics.max_error
‘neg_mean_absolute_error’metrics.mean_absolute_error
‘neg_mean_squared_error’metrics.mean_squared_error
‘neg_root_mean_squared_error’metrics.mean_squared_error
‘neg_mean_squared_log_error’metrics.mean_squared_log_error
‘neg_median_absolute_error’metrics.median_absolute_error
‘r2’metrics.r2_score
‘neg_mean_poisson_deviance’metrics.mean_poisson_deviance
‘neg_mean_gamma_deviance’metrics.mean_gamma_deviance
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