Calculate metrics
A list of specified metrics can be calculated for the given dataset using the Python package.
| Class | Class purpose | Method | Description |
|---|---|---|---|
| CatBoost | Training and applying models. | eval_metrics | Calculate the specified metrics for the specified dataset. |
| CatBoostRegressor | Training and applying models for the regression problems. When using the applying methods only the predicted class is returned. Provides compatibility with the scikit-learn tools. | eval_metrics | |
| CatBoostClassifier | Training and applying models for the classification problems. When using the applying methods only the probability that the object belongs to the class is returned. Provides compatibility with the scikit-learn tools. | eval_metrics |
| Class | Class purpose | Method | Description |
|---|---|---|---|
| CatBoost | Training and applying models. | eval_metrics | Calculate the specified metrics for the specified dataset. |
| CatBoostRegressor | Training and applying models for the regression problems. When using the applying methods only the predicted class is returned. Provides compatibility with the scikit-learn tools. | eval_metrics | |
| CatBoostClassifier | Training and applying models for the classification problems. When using the applying methods only the probability that the object belongs to the class is returned. Provides compatibility with the scikit-learn tools. | eval_metrics |