About this document

Condition-Based Classifier for Rule Reduction by hunghive is a document available to read on EtoBox.

This document summarizes a research paper that proposes a new type of classifier called a condition-based classifier (CBC). CBC aims to generate an interpretable model like associative classifiers, but with a significantly smaller number of rules. The key ideas are: 1) Associative classifiers can be represented as decision trees, but these trees have a limitation where at least one child is never split at non-leaf nodes. 2) A new tree model called a condition-based tree (CBT) is proposed to relax this re

Author

hunghive

Language

EN