Hi all!
I started using Knime a couple of weeks ago and I am doing a logistic regression as exercise to understand, from a customer database, who is going to redeem a specific coupon online.
Now, I did my analysis and I arrived at the lift chart, I was wondering if someone can help me understand it so I can explain it in a correct way to my professor.
This is the lift chart without any math formula added or variable added/removed:
And this is the lift chart with the math formula I've added and without the insignificant variables:
How I can effectively explain these charts? Also I noticed that my accuracy from the confusion matric get down when I remove "insignificant" variables and add math formulas. Is this an indicator that my model is wrong and I should add different variables?
Many thanks to everyone can help on this one!
Lara