11. Model Info

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

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

  2. 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.

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

  2. Code view: Preview the code.

  3. Run: Execute the code.

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