resampleSummary: Summary of resampled performance estimates

In caret: Classification and Regression Training

Summary of resampled performance estimates

Description

This function uses the out-of-bag predictions to calculate overall performance metrics and returns the observed and predicted data.

Usage

resampleSummary(obs, resampled, index = NULL, keepData = TRUE)

Arguments

obs	A vector (numeric or factor) of the outcome data
resampled	For bootstrapping, this is either a matrix (for numeric outcomes) or a data frame (for factors). For cross-validation, a vector is produced.
index	The list to index of samples in each cross-validation fold (only used for cross-validation).
keepData	A logical for returning the observed and predicted data.

Details

The mean and standard deviation of the values produced by postResample are calculated.

Value

A list with:

metrics	A vector of values describing the bootstrap distribution.
data	A data frame or NULL. Columns include obs, pred and group (for tracking cross-validation folds or bootstrap samples)

Author(s)

Max Kuhn

See Also

postResample

Examples

resampleSummary(rnorm(10), matrix(rnorm(50), ncol = 5))

caret documentation built on March 31, 2023, 9:49 p.m.