My question is below:-

It is based on model performance model

When to use kolmogorov smirnov test, GINI, AUC? Help check the below

3.1 Applying CART I used rpart package to solved this

3.2 Interpret the CART model output <pruning, remarks on pruning, plot the pruned tree> rpart package too

3.3 Applying Random Forests I used randomForest package for this

3.4 Interpret the RF model output <with remarks, making it meaningful for everybody>

4.1 Confusion matrix interpretation- I used caret package

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**> 4.2 Interpretation of other Model Performance Measures <KS, AUC, GINI>**

this is where I am having a problem. I don't understand What the question is saying and the application too. Should they be applied on test, train or predicted values

I mean the 4.2, about KS, AUC, GINI

#homework

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Thank