topic SAS EMiner - Incremental response model diagnostic in SAS Data Science

SAS EMiner - Incremental response model diagnostic

SGhosh — Mon, 18 Sep 2017 13:49:05 GMT

In Incremental response model diagnostic chart or table, which one is predicting the variables to be used?

Train, Validate or Test? What would be the impact if the train is looking like a good model but Validate is not?

Thanks so much

Soma

Re: SAS EMiner - Incremental response model diagnostic

Ruiwen — Fri, 22 Sep 2017 15:06:09 GMT

Like other predictive modeling, the train and validation set are used for training in the IR node and the test set as hold-out data is only used for verifying the model accuracy at the end. If you see that the train is good but not validation, please try more options for training. For example, you can specify the Selection Method and set Validation Error or Cross Validation Error as the Selection Criterion; also the Two-Way interaction option can help capture nonlinear relationships if there is any in the data.

Re: SAS EMiner - Incremental response model diagnostic

SGhosh — Mon, 25 Sep 2017 16:05:34 GMT

Thanks so much. These tweks helped my model getting desired results

Thanks

Re: SAS EMiner - Incremental response model diagnostic

AnnaBrown — Mon, 25 Sep 2017 17:46:24 GMT

Hi!

I'm glad you found some useful info! If Ruiwen's reply was the exact solution to your problem, can you "Accept it as a solution"? Or if it was particularly helpful, feel free to "Like" it. This will help other community members who may run into the same issue know what worked.

Thanks!
Anna