voting

Data set from the UCI repository
<a href="https://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records">https://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records</a>.

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

voting function

A <code>data.frame</code> with 17 columns and 435 rows.

Format

Data set from the UCI repository
<a href='https://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records'>https://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records</a>.

voting: Congress Voting Data Set.

Description

Arguments

Format