EPP: interpretable score of model predictive power

24 Aug 2019Alicja GosiewskaMateusz BakalaKatarzyna WoznicaMaciej ZwolinskiPrzemyslaw Biecek

The most important part of model selection and hyperparameter tuning is the evaluation of model performance. The most popular measures, such as AUC, F1, ACC for binary classification, or RMSE, MAD for regression, or cross-entropy for multilabel classification share two common weaknesses... (read more)

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