Hello,
I want to plot a ROC Curve comparing different learning algorithms which works well so far but I do not really understand how exactly the "P"-Value is calculated which is generated by the Decision Tree Predictor Node when enabling "Append Columns with Normalized Class Distribution".
Can anybody please tell me the formula or name a reference?
Help is much appreciated!