Retrieving Feature Importances from CatBoost Model

This function retrieves the feature importances from a CatBoost model. Feature importance is a numerical value indicating the impact of each feature on the model's prediction result.

Technology Stack : CatBoost

Code Type : Custom function

Code Difficulty : Intermediate

                
                    
def random_feature_importance(model, data):
    """
    This function returns the feature importances from a CatBoost model.
    """
    import catboost as cb

    # Calculate feature importances
    feature_importances = model.get_feature_importances(data)

    return feature_importances