score_one_minus_precision: One Minus Precision

Description Usage Arguments Value Examples

View source: R/score_precision.R

Description

One Minus Precision

Usage

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score_one_minus_precision(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

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library(DALEX)

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

# create an explainer
exp_glm <- explain(model_glm,
                   data = titanic_imputed,
                   y = titanic_imputed$survived)

# calculate score
score_one_minus_precision(exp_glm)

auditor documentation built on July 27, 2021, 1:08 a.m.