The variance, influence and probability are taken with respect to an arbitrary product measure on {-1, 1}/sup n/n. It follows that the minimum depth of a decision tree calculating a given balanced ...

To construct a strong classifier ensemble, base classifiers should be accurate and diverse. However, there is no uniform standard for the definition and measurement of diversity. This work proposes a ...

This repository contains a Python-based implementation of a Decision Tree Classifier, built entirely from scratch as part of the CME 3402 - Concepts of Programming Languages. This project avoids all ...

A decision tree classifier implemented from scratch in Python using entropy and information gain. - Releases · hhamzakaya/decision-tree-python ...