<model_
Returns a table containing the number of instances of each combination of actual class and predicted class in models where evaluation was enabled at instantiation. You can use this dataset to plot a confusion matrix. This method takes no arguments. See Confusion Matrix in `show_confusion_matrix`.
Output¶
| Column | Type | Description |
|---|---|---|
dataset_type | VARCHAR | The name of the dataset used for metrics calculation, currently EVAL. |
actual_class | VARCHAR | The actual class. |
predicted_class | VARCHAR | The predicted class. |
count | INTEGER | The number of instances of the given combination of actual and predicted class. |
logs | VARIANT | Contains error or warning messages. |