civis (version 2.1.2)

get_metric: Get model metrics

Description

Get model metrics

Usage

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"