brier_score: brier_score: A Brier score function

In MLeval: Machine Learning Model Evaluation

Description

Calculates the Brier score to evaluate probabilities. A data frame of probabilities and ground truth labels must be passed in to evaluate. Raw probability data must be column1: prob G1, column2: prob G2, column3: obs labels, column4: Group (optional). Zero is optimal and more positive is less.

Usage

brier_score(preds, positive = colnames(preds)[2])

Arguments

preds	Data frame: Data frame of probabilities and ground truth labels.
positive	Character vector: The name of the positive group, must equal a column name consisting of probabilities.

Value

Brier score

Examples

r2 <- brier_score(preds)

MLeval documentation built on Feb. 12, 2020, 9:07 a.m.