tune (version 0.1.2)

conf_mat_resampled: Compute average confusion matrix across resamples

Description

For classification problems, conf_mat_resampled() computes a separate confusion matrix for each resample then averages the cell counts.

Usage

conf_mat_resampled(x, parameters = NULL, tidy = TRUE)

Arguments

x

An object with class tune_results that was used with a classification model that was run with control_*(save_pred = TRUE).

parameters

A tibble with a single tuning parameter combination. Only one tuning parameter combination (if any were used) is allowed here.

tidy

Should the results come back in a tibble (TRUE) or a matrix.

Value

A tibble or matrix with the average cell count across resamples.

Examples

# NOT RUN {
library(parsnip)
library(rsample)
library(dplyr)

data(two_class_dat, package = "modeldata")

set.seed(2393)
res <-
  logistic_reg() %>%
  set_engine("glm") %>%
  fit_resamples(Class ~ ., resamples = vfold_cv(two_class_dat, v = 3),
                control = control_resamples(save_pred = TRUE))

conf_mat_resampled(res)
conf_mat_resampled(res, tidy = FALSE)
# }

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