drop_na

Character string denoting how NAs should be dealt with. "dependent" means rows with NA in the dependent variable are dropped. "predictors" means rows with NA in an independent variable are dropped. "all" means rows with NA in any column are dropped. "none" means NAs are ignored.

strategy

dependent

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.

drop_na: Remove NAs according to a strategy

Description

Usage

Arguments

Value