confusion: Confusion matrix for binary and multi-class models and...

In PiotrTymoszuk/caretExtra: Extra functionality for predictions and quality control of caret models

Confusion matrix for binary and multi-class models and predictions.

Description

Creates a confusion matrix, valid only for binary and multi-class models and predictions.

Usage

confusion(x, ...)

## S3 method for class 'caretx'
confusion(x, newdata = NULL, scale = c("none", "fraction", "percent"), ...)

## S3 method for class 'predx'
confusion(x, scale = c("none", "fraction", "percent"), ...)

Arguments

x	caretx model or predx prediction object.
...	extra arguments passed to methods.
newdata	newdata test data set.
scale	indicates, how the table is to be scaled: none: returns the counts (default) fraction returns the fraction of all observations percent returns the percent of all observations

Details

confusion() is a S3 generic function.

Value

a list of table object storing the confusion matrices (caretx) or a single table bject representing the confusion matrix (predx). For regression models NULL and a warning is generated.#

PiotrTymoszuk/caretExtra documentation built on Oct. 15, 2023, 10:03 p.m.