get_metric: Get model metrics

View source: R/civis_ml_utils.R

get_metricR Documentation

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.

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"

Value

The metric given by name, or all metrics.


civis documentation built on April 1, 2023, 12:01 a.m.