predict_tweaked

The logistic regression model to use to predict on a test set.

model

The whole test set which class has to be predicted.

The segment considered (given by the tree).

c_iter

This function applies the logistic regression predict after carefully removing observations of categorical features' levels absent from the training set..

internal

A logistic regression tree is a decision tree with logistic regressions at its leaves. A particular stochastic expectation maximization algorithm is used to draw a few good trees, that are then assessed via the user's criterion of choice among BIC / AIC / test set Gini. The formal development is given in a PhD chapter, see Ehrhardt (2019) <https://github.com/adimajo/manuscrit_these/releases/>.

Adrien Ehrhardt

glmtree

Logistic Regression Trees

predict_tweaked function

<dl><dt>model</dt>
<dd>The logistic regression model to use to predict on a test set.</dd>
<dt>df</dt>
<dd>The whole test set which class has to be predicted.</dd>
<dt>c_iter</dt>
<dd>The segment considered (given by the tree).</dd></dl>

Arguments

Author

Tweaked predict to take into account levels that are not in the training set but in the test set and remove these rows. — predict_tweaked

<dl>

<dt>model</dt>
<dd>The logistic regression model to use to predict on a test set.</dd>


<dt>df</dt>
<dd>The whole test set which class has to be predicted.</dd>


<dt>c_iter</dt>
<dd>The segment considered (given by the tree).</dd>

</dl>

predict_tweaked: Tweaked predict to take into account levels that are not in the training set but in the test set and remove these rows.

Description

Usage

Value

Arguments

Author