apparent: Sampling for the Apparent Error Rate

In topepo/rsample: General Resampling Infrastructure

Description

When building a model on a data set and re-predicting the same data, the performance estimate from those predictions is often call the "apparent" performance of the model. This estimate can be wildly optimistic. "Apparent sampling" here means that the analysis and assessment samples are the same. These resamples are sometimes used in the analysis of bootstrap samples and should otherwise be avoided like ol sushi.

Usage

apparent(data, ...)

Arguments

data	A data frame.
...	Not currently used.

Value

An tibble with a single row and classes 'apparent', 'rset', 'tbl_df', 'tbl', and 'data.frame'. The results include a column for the data split objects and one column called 'id' that has a character string with the resample identifier.

Examples

apparent(mtcars)

topepo/rsample documentation built on May 4, 2019, 4:25 p.m.