prepare_data

An optional reference data frame, whose factor levels are to be applied to df

df_reference

dependent

Logical. Should the df be releveled with df_reference's factor levels?

relevel

Character vector denoting of which columns the NAs should be removed. See <code><a rd-options="" href="/link/drop_na?package=crtests&version=0.2.1" data-mini-rdoc="crtests::drop_na">drop_na</a></code> for the available strategies

drop.nas


This function removes all missing values, including those introduced after (optional) releveling


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.

prepare_data: Prepare data for training or testing.

Description

Usage

Arguments

Value