- Click on Model Info in the Machine Learning category.
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Model: Select the model for which you want to check information.
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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.
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Options: Specify detailed settings to extract the information you want to check.
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Code view: Preview the code.
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Run: Execute the code.