167 citations · 1k across the 73 of their papers we have counts for
4 papers · 2 filters
EPP: interpretable score of model predictive power
Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica +2
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 classificati…
Model Development Process
Przemyslaw Biecek
Predictive modeling has an increasing number of applications in various fields. High demand for predictive models drives creation of tools that automate and support work of data sc…
Do Not Trust Additive Explanations
Alicja Gosiewska, Przemyslaw Biecek
Explainable Artificial Intelligence (XAI)has received a great deal of attention recently. Explainability is being presented as a remedy for the distrust of complex and opaque model…
SAFE ML: Surrogate Assisted Feature Extraction for Model Learning
Alicja Gosiewska, Aleksandra Gacek, Piotr Lubon +1
Complex black-box predictive models may have high accuracy, but opacity causes problems like lack of trust, lack of stability, sensitivity to concept drift. On the other hand, inte…