crtests (version 0.2.1)

classification_model: Generic function for creating a classification model

Description

Generic function for creating a classification model

Usage

classification_model(method, test, x, y, training_data, ...)
"classification_model"(method, test, x, y, training_data, ...)
"classification_model"(method, test, x, y, training_data, ...)
"classification_model"(method, test, x, y, training_data, ...)

Arguments

method

The method for classification.

test

The test being conducted

x

The independent variables.

y

The dependent (class) variable. Should be a factor for most algorithms

training_data

The complete data set for training

...

Extra arguments to pass to the classification algorithm

Value

The produced model

Methods (by class)

• default: Default function for creating a classification model get s the method and calls it using x, y, and data
• rpart: Rpart specific function for creating a classification model RPart requires a formula for classification, which is not provided by the default function
• boosting: Create a classification model using Freund & Schapire's adaboost.M1