sort.train: Sort or order the model selection table of a 'train' or...
In benmack/oneClass: One-class classification in the absence of test data

Description Usage Arguments Examples

The model selection table lists the parameters of the models evaluated during model selection together with the calculated performance metrics. This function is useful to find and compare the high ranked models.

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## S3 method for class 'train'
sort(x, decreasing = TRUE, by = NULL, printTable = TRUE,
  rows = NULL, cols = NULL, digits = min(3, getOption("digits") - 3), ...)

`x`	an object of class `train` or `trainOcc`.
`decreasing`	`TRUE` (default) to sort in decreasing order. can be a vector if `by` is a vector.
`by`	a character or character vector specifying by which columns to sort. If `NULL` the performance metric is taken from the `train` object.
`printTable`	`TRUE` for printing the table, else `FALSE`
`rows`	index of the rows to be printed (ignored if `printTable=FALSE`). default(`NULL`) prints all.
`cols`	index of the cols to be printed (ignored if `printTable=FALSE`). default(`NULL`) prints all.
`digits`	the number of digits to print
`...`	not currently used.

## Not run: 
data(bananas)
### an underfitted model 
oc <- trainOcc (x = bananas$tr[, -1], y = bananas$tr[, 1], method="ocsvm")
sort(oc, by="tpr")

## End(Not run)