score_f1: F1 Score

In mi2-warsaw/auditor: Model Audit - Verification, Validation, and Error Analysis

F1 Score

Description

F1 Score

Usage

score_f1(object, cutoff = 0.5, data = NULL, y = NULL, ...)

Arguments

object	An object of class explainer created with function explain from the DALEX package.
cutoff	Threshold value, which divides model predicted values (y_hat) to calculate confusion matrix. By default it's 0.5.
data	New data that will be used to calculate the score. Pass NULL if you want to use data from object.
y	New y parameter will be used to calculate score.
...	Other arguments dependent on the type of score.

Value

An object of class auditor_score.

Examples

data(titanic_imputed, package = "DALEX")

# fit a model
model_glm <- glm(survived ~ ., family = binomial, data = titanic_imputed)

glm_audit <- audit(model_glm,
                   data = titanic_imputed,
                   y = titanic_imputed$survived)

# calculate score
score_f1(glm_audit)

mi2-warsaw/auditor documentation built on Oct. 31, 2023, 1:28 a.m.