Hello, Fellow Users,   I am building an attrition model. I am ending up with 10 predictors. The client wants to know for each record, which the top reason it will attride (like the top reasons the credit card application is denied).   I haven't worked in credit card industry, so I don't know exactly how they do it. One solution I am thinking is:   1), Standardize the predictors  2), Estimate the coefficient 3), Scoring each record 4), Rank the absolute value of coefficient * preditors   Because the end value is due to the summary of each coefficient * preditors, I think I am ranking the important of each predictor.   Could anyone give me some insight whether this works?   Thanks a lot.   S. Y. ... View more