get_metric(model, name = NULL)

## Arguments

model |
Object from `civis_ml` |

name |
Name of the metric. If `NULL` , all metrics are returned. Possible metrics are listed in details. |

## Value

The metric given by `name`

, or all metrics.

## Details

The list of possible metrics provided by CivisML is:

Classification:

`"accuracy"`

, `"confusion_matrix"`

, `"p_correct"`

, `"pop_incidence_true"`

,
`"pop_incidence_pred"`

, `"roc_auc"`

, `"log_loss"`

, `"brier_score"`

,
`"roc_curve"`

, `"calibration_curve"`

, `"deciles"`

, `"score_histogram"`

,
`"training_histogram"`

, `"oos_score_table"`

.

Regression:

`"mad"`

, `"rmse"`

, `"r_squared"`

, `"score_histogram"`

, `"training_histogram"`

,
`"y_yhat_plot"`

, `"y_yhat_outlier_rows"`

, `"oos_score_table"`