Modeling Metrics Registry

ML Metrics

Provides registry functionality for Metric classes. For implementation details see EligibleMetrics

accuracy	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html For implementation details see Accuracy Attributes TASK: classification
f1	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html For implementation details see F1Score Attributes TASK: classification
jaccard	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html For implementation details see Jaccard Attributes TASK: classification
logloss	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html For implementation details see LogLoss Attributes TASK: classification
precision	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html For implementation details see Precision Attributes TASK: classification
recall	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html For implementation details see Recall Attributes TASK: classification
rocauc	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html For implementation details see RocAUC Attributes TASK: classification
roc-curve	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html For implementation details see RocCurve Attributes TASK: classification
pr-curve	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html For implementation details see PRCurve Attributes TASK: classification
mae	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html For implementation details see MAE Attributes TASK: regression
rmse	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html For implementation details see RMSE Attributes TASK: regression
msle	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html For implementation details see MSLE Attributes TASK: regression
mape	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html For implementation details see MAPE Attributes TASK: regression
r2	Description https://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html For implementation details see R2Score Attributes TASK: regression
cindex	Description c-index survival metric class. Calculates alternative cindex metric as per Harrel. For implementation details see CIndex Attributes TASK: survival