<model_name>!SHOW_EVALUATION_METRICS¶

Returns evaluation metrics for each class in models where evaluation was enabled at instantiation. This method takes no arguments. See Metrics in show_evaluation_metrics.

Output¶

Column	Type	Description
`dataset_type`	VARCHAR	The name of the dataset used for metrics calculation, currently EVAL.
`class`	VARCHAR	The predicted class. Each class has its own set of metrics, which are provided in multiple rows.
`error_metric`	VARCHAR	The error metric name. Can include Precision, Recall, F1, etc.
`metric_value`	FLOAT	The error metric value
`logs`	VARIANT	Contains error or warning messages.