# resampleSummary

From caret v2.27
by Max Kuhn

##### 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

##### Examples

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

*Documentation reproduced from package caret, version 2.27, License: GPL 2.0*

### Community examples

Looks like there are no examples yet.