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Found 2 papers, 2 papers with code
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure
In this work, we propose new methods to support model analysis by exploiting the information about the correlation between variables.
Explainable artificial intelligence
Interpretable Machine Learning
EPP: interpretable score of model predictive power
Second is, that for k-fold cross-validation, the model performance is in most cases calculated as an average performance from particular folds, which neglects the information how stable is the performance for different folds.
