Fig. 6
From: Faster and more accurate pathogenic combination predictions with VarCoPP2.0
Boxplot of the feature contributions for either the disease-causing or the neutral class, among all positive instances (a) or all negative instances (b) in the validation set inferred using treeinterpreter. A feature contribution value above 0 indicates a vote for a positive prediction (i.e. towards the disease-causing class), while a value below 0 indicates a vote for negative prediction (i.e. towards the neutral class). The more the feature contribution value deviates from 0, the stronger the vote is for either class