Daim.data3

datasets

Daim.data 3

Several functions for evaluating the accuracy of
classification models. The package provides the following
performance measures: repeated k-fold cross-validation,
0.632 and 0.632+ bootstrap estimation of the misclassification rate,
sensitivity, specificity and AUC. If an application is
computationally intensive, parallel execution can be used
to reduce the computational effort.

Sergej Potapov

Daim

Diagnostic accuracy of classification models.

Daim.data 3 function

A <code>data.frame</code> containing 4 variables and 196 observations.

Daim.data 3: Data set: Artificial data for use with Daim

Description

Usage

Arguments

Format

Examples