5 citations · 11 across the 3 of their papers we have counts for
3 papers
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure
Katarzyna Pekala, Katarzyna Woznica, Przemyslaw Biecek
One of the key elements of explanatory analysis of a predictive model is to assess the importance of individual variables. Rapid development of the area of predictive model explora…
Interpretable Meta-Measure for Model Performance
Alicja Gosiewska, Katarzyna Woźnica, Przemysław Biecek
Benchmarks for the evaluation of model performance play an important role in machine learning. However, there is no established way to describe and create new benchmarks. What is m…
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…