11. Model Info

1. Click on Model Info in the Machine Learning category.

2. Model: Select the model for which you want to check information.

3. Info: Lists of information available for each type of model are displayed:

   Example:

   • Regressor: Score, Cross Validation Score, Permutation Importance, etc.

   • Classifier: AUC, ROC Curve, Feature Importance, etc.

   • Cluster: Cluster Centers, etc.

   • Encoder: Categories, Feature Names, etc.

4. Options: Specify detailed settings to extract the information you want to check.

5. Code view: Preview the code.

6. Run: Execute the code.