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
PRTG Catches Network Issues Before They Cause Downtime
Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Random Forests (Breiman) in Java!
