Table 2 Top 15 feature importance report of the best performing model: a LASSO classifier trained on TBV radiomics features, selected by MRMR, and predicting moist cells epitheliolysis as a surrogate for skin inflammation. This report shows how often a feature has been chosen out of the 250 iterations (% chosen), the feature importance value given by the model (importance; LASSO coefficients), and a score encompassing the feature importance value and how often that feature was selected (product of these two values).

From: CT-based radiomics for predicting breast cancer radiotherapy side effects