resampleSummary

0th

Percentile

Summary of resampled performance estimates

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

Keywords
utilities
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)

See Also

postResample

Aliases
  • resampleSummary
Examples
# NOT RUN {
resampleSummary(rnorm(10), matrix(rnorm(50), ncol = 5))

# }
Documentation reproduced from package caret, version 6.0-80, License: GPL (>= 2)

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