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This function uses the out-of-bag predictions to calculate overall performance metrics and returns the observed and predicted data.
resampleSummary(obs, resampled, index = NULL, keepData = TRUE)
A vector (numeric or factor) of the outcome data
For bootstrapping, this is either a matrix (for numeric outcomes) or a data frame (for factors). For cross-validation, a vector is produced.
The list to index of samples in each cross-validation fold (only used for cross-validation).
A logical for returning the observed and predicted data.
A list with:
A vector of values describing the bootstrap distribution.
A data frame or NULL
. Columns
include obs
, pred
and group
(for tracking
cross-validation folds or bootstrap samples)
The mean and standard deviation of the values produced by
postResample
are calculated.
# NOT RUN {
resampleSummary(rnorm(10), matrix(rnorm(50), ncol = 5))
# }
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