identify_min_testing_depths

<p>Identifies the lowest (closest to root) depths at which the features of a 
classification tree are tested.</p>

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_min_testing_depths function

Identifies the lowest (closest to root) depths at which the features of a 
classification tree are tested. — identify_min_testing_depths

Identifies the lowest (closest to root) depths at which the features of a 
classification tree are tested.

identify_min_testing_depths: Identifies the lowest (closest to root) depths at which the features of a classification tree are tested.

Description

Usage

Arguments