@Siddhant wrote:
I have been trying to improve my model for the past 2 days, but can't really find a way. I have tried logistic regression, classification trees and random forest with the optimal cp as well as threshold values. I have also imputed the missing data. I have tried fitting in more independent variables along with Credit_History, and forming new variables. After trying everything, I still cannot generate accuracy above 0.77777778. I need suggestions from people with better rank and others as well as to what else one can try? And also to add that, by using any of the 3 approaches I've mentioned, I am getting the same accuracy, which is also true for my baseline model. Why is that so?
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