train_model

train_model.classification

train_model.regression

The test object. This is passed so the method can be extracted.

test

An object of class "regression" or "classification" with at least x, y, train and holdout

data

Extra arguments to pass to the classification or regression method

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

train_model function

<ul>
<li> <code>classification</code>: Train a model for classification using a classifier algorithm. This function wraps the actual classifier </li>
<li> <code>regression</code>: Train (fit) a regression model. This function wraps a regression algorithm.
</li>
</ul>

train_model: Train a classification or regression model

Description

Usage

Arguments

Methods (by class)