hey in Churn Prediction Model anyone knows details of Gamma Distribution Parameters : r,alpha,beta,s,LL as to what significance these parameters hold? so if i get r alpha s beta LL 0.4977405 0.6966619 0.07498061 2.065551 -181939.5 what inference i can get?
Suggest that you play with simple (simplistic) models where the role of parameters is obvious. Then you will be able to answer your own question above. If you do not have this level of understanding, you are really not able to interpret any results and run the real risk of making stupid or erroneous conclusions.
can u suggest any simple model where role of parameters is obvious?
This wiki page gives a bit of generic explanations about those parameters. Maybe you could try to see how it applies to your business case.