prepare

prepare.default

test


This allows for different implementations for regression or classification


Provides wrapper functions for running classification and
regression tests using different machine learning techniques, such as Random
Forests and decision trees. The package provides standardized methods for
preparing data to suit the algorithm's needs, training a model, making
predictions, and evaluating results. Also, some functions are provided to run
multiple instances of a test.

Sjoerd van der Spoel

crtests

Classification and Regression Tests

prepare function

<ul>
<li> <code>default</code>: The default method relevels the holdout set, so the holdout and train set are completely independent, and to prevent problems with certain algorithms that can't deal with different factor levels across train and holdout set
</li>
</ul>

prepare: Prepare the data for the specified test.

Description

Usage

Arguments

Value

Methods (by class)