Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
Categories
Artificial IntelligenceLicense
Academic Free License (AFL)Follow Random Forests (Breiman) in Java
Other Useful Business Software
AI-powered service management for IT and enterprise teams
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Random Forests (Breiman) in Java!