C - Coefficient estimation using MLE
A - Assumption Checking - Multicollinearity using VIF
T - Testing Individual coefficients and overall model - Wald test, Likelihood ratio test, Wald and Score test
E - Exhaustive variable selection -Sequential forward floating, Recursive feature elimination
G - Generalisation of model
O - Observed - Predicted PD - Pearson and Deviance residuals
R - R square
I - Information criteria - AIC BIC
C - CAP
A - Area under the curve
L - Lemeshow test
Негізгі бет Logistic Regression , MLE, VIF, Likelihood ratio test, GoF Test, AIC/BIC, Pearson/Deviance Residuals
Пікірлер: 6