identify_all_testing_depths

Identifies all depths at which the features of a classification tree are
tested.

internal

State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.

Mihaljevic Bojan

bnclassify

Learning Discrete Bayesian Network Classifiers from Data

Bielza Concha

Larranaga Pedro

Wickham Hadley

identify_all_testing_depths function

<dl><dt>tree</dt>
<dd>an <code>rpart</code> object</dd></dl>

Arguments

Identifies all depths at which the features of a classification tree are
tested. — identify_all_testing_depths

<dl>

<dt>tree</dt>
<dd>an <code>rpart</code> object</dd>

</dl>

identify_all_testing_depths: Identifies all depths at which the features of a classification tree are tested.

Description

Usage

Value

Arguments