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Logistic Regression_AUC_Store and retreive model

For logistic regression classifier, is it possible to:

1- Draw AUC for both training and testing data "in the same model" without using cross validation operator "I mean use only split data operator".

2- How to save model and use it to train new dataset.

I would appreciate if the answer can be associated with a figure or video or process for better illustrating.

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lionelderkrikor

Hi @SA_H,

1- Draw AUC for both training and testing data "in the same model" without using cross validation operator "I mean use only split data operator".

Please find in attached file , a process which calculates the ROC curves for both training set and test set.
Please note that the process will create 2 figures (one for the training part, one for the test part), so the 2 curves are not on the same figure.

2- How to save model and use it to train new dataset.

We do not train a "new dataset", we train a model.
So, you mean how to save model and use it to score a new dataset ?
if so, you can use the Store operator to save the model, and the Retrieve operator to recover your trained model and then you can score a new dataset by using the Apply Model operator.

Hope this helps,

Regards,

Lionel

AUC_training_Testing.rmp

SA_H

Thank you Lionel. I would appreciate if you can provide an image for retrieve saved model to test new dataset.

Another inquiry if possible, how can I remove ROC-threshold and keep only ROC in the figure.