compare_models: Perform permutation tests to compare the performance metric...

In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines

Perform permutation tests to compare the performance metric across all pairs of a group variable.

Description

A wrapper for permute_p_value().

Usage

compare_models(merged_data, metric, group_name, nperm = 10000)

Arguments

merged_data	the concatenated performance data from run_ml
metric	metric to compare, must be numeric
group_name	column with group variables to compare
nperm	number of permutations, default=10000

Value

a table of p-values for all pairs of group variable

Author(s)

Courtney R Armour, [e-mail]

Examples

df <- dplyr::tibble(
  model = c("rf", "rf", "glmnet", "glmnet", "svmRadial", "svmRadial"),
  AUC = c(.2, 0.3, 0.8, 0.9, 0.85, 0.95)
)
set.seed(123)
compare_models(df, "AUC", "model", nperm = 10)

SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.