logforest.fit

The Logic Forest model for data with a binary response with error following the underlying logical relationship 
L=(X4 and X5) or (X9 and X10)
The logic forest includes 100 logic regression trees.

datasets

Two classification ensemble methods based on logic regression models.  LogForest uses a bagging approach to construct an ensemble of logic regression models.  LBoost uses a combination of boosting and cross-validation to construct an ensemble of logic regression models.  Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome.

Bethany Wolf

LogicForest

Logic Forest

logforest.fit function

An object of class <code>logforest</code>.

logforest.fit: Example of a Logic Forest Model

Description

Usage

Arguments

Format

Examples