proportion.positive

This function is called by <code>predict.logforest</code>. It is not intended to be used independently of this function.
It determined the proportion of logic regression trees within a logic forest that predict a class of one for new observations. Additionally it returns predicted values for new observations.

internal

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

proportion.positive function

<dl><dt>predictmatrix</dt>
<dd>matrix of predicted values</dd>
<dt>cutoff</dt>
<dd>proportion of trees that predict class of one required to result in prediction of class of one</dd></dl>

Arguments

Internal Logic Forest Functions — proportion.positive

<dl>

<dt>predictmatrix</dt>
<dd>matrix of predicted values</dd>


<dt>cutoff</dt>
<dd>proportion of trees that predict class of one required to result in prediction of class of one</dd>

</dl>

proportion.positive: Internal Logic Forest Functions

Description

Usage

Value

Arguments