Model Performance measure

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


> 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

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Having read your post, I'm afraid I see bullet points and not questions. Are you asking the forum, how to calculate statistics?, or how to interpret them ? or both ?

Oh! I am sorry. This is my first time and I am a beginner self learns. I will always put your suggestion into consideration.

Are you asking the forum, how to calculate statistics?, or how to interpret them ? or both ?

I am asking for both.

you can read about measuring performance with caret here

It shows how to get AUC.
Gini and AUC are just linear transforms of each other so
Gini = 2* AUC - 1
you can calculate Gini for any AUC with this formula.

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