predict.logforest

Predicts outcomes for new observations using a fitted logic forest model.

Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.

Melica Nikahd

LogicForest

Logic Forest

Bethany Wolf

Andrew Gothard

Madison Hyer

predict.logforest function

<dl><dt>object</dt>
<dd>An object of class <code>"logforest"</code>.</dd>
<dt>newdata</dt>
<dd>A data frame containing new observations to predict.</dd>
<dt>cutoff</dt>
<dd>A numeric value indicating the proportion of trees that must predict class 1 for an overall prediction of class 1.</dd>
<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd></dl>

Arguments

Predict method for logic forest models — predict.logforest

<dl>

<dt>object</dt>
<dd>An object of class <code>"logforest"</code>.</dd>


<dt>newdata</dt>
<dd>A data frame containing new observations to predict.</dd>


<dt>cutoff</dt>
<dd>A numeric value indicating the proportion of trees that must predict class 1 for an overall prediction of class 1.</dd>


<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd>

</dl>

predict.logforest: Predict method for logic forest models

Description

Usage

Value

Arguments