in a Binary logistic regression (computed through SPSS) one model gives higher number of independent variables as significant explaining the occurring of an dependent event. but another model (with some variations and re-codes in the predictor/ independent variables) gives higher correct classification of cases than the previous one.
Now the question is which model one should prefer to explain the event? which model one should adopt?