Decision Tree is the simple but powerful classification algorithm of machine learning where a tree or graph-like structure is constructed to display algorithms and reach possible consequences of a ...

Abstract: Decision tree algorithms are very popular in the field of data mining. This paper proposes a distributed decision tree algorithm and shows examples of its implementation on big data ...

Bayesian Decision Trees ... a pruning step. This algorithm generates the greedy-modal tree (GMT) which is applicable to both regression and classification problems. We tested the algorithm on various ...

This repository contains code and documentation for a project that demonstrates the classification of the Iris dataset using the Decision Tree Classifier algorithm. The Decision Tree is a popular and ...

Key Takeaways OpenAI's breakthrough started with brain-inspired networks everyone can learnFinancial institutions pay premiums for one explainable model typeSpo ...

Data Science Algorithms in a Week addresses all problems related to ... This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest, k-means, regression, and ...

Abstract: With the advent of the computer science, the data volume that needed to be processed under ... Bearing this in mind, we made an intensive study on the optimization of decision tree algorithm ...

Four years of research led to a specific decision tree data mining algorithm yielding best results. Results obtained from the BC database were excellent, revealing $4.7 billion (US) in high ...