Contribution of the predictors to the target variable, ROC curve Editing,

Question

Please I have two questions:1- How can I estimate the contribution of the predictors to the target variable in a binary classification problem.2- How I can edit the figures exported from rapidminer and in particular ROC curve.

SA_H · Answer

Thank you all for your replies. I will try the suggested operators.

IngoRM · Answer

100% agreement.  In many cases it becomes "visually" obvious though since the globally important columns "stand out" since they have bolder colors in most cases.  I saw that now quite often and I am thinking about putting this into an algorithm right now...

But you can also use any of the "Weighting" operators to calculate global importance BTW.

Just my 2 cents,
Ingo

Telcontar120 · Answer

Some ML algorithms directly output global independent variable importance as well.  It just depends on the algorithm you have chosen.  Explain Predictions generates local estimates which are good for understanding specific cases but not necessarily for understanding which ones are the most important overall.