Lintaar
Lintaar OP t1_j2c1pzp wrote
Reply to comment by bitemenow999 in [D] Have you built ML models for your own use? by Lintaar
A living example of the Ballmer Peak. In all seriousness though, that's pretty impressive to build that much in 24 hours... especially while being drunk. And more impressive, it sounds like it could be an actually useful model if you keep working on it. Good luck!
Lintaar OP t1_j2bf911 wrote
Reply to comment by Apprehensive_Maize_4 in [D] Have you built ML models for your own use? by Lintaar
Thats a worthy project, best of luck!
Lintaar t1_j1k0ydm wrote
Reply to [D] Simple Questions Thread by AutoModerator
How many nodes should a random forest classification have? I'm only using it to determine feature importance nothing more.
Every documentation I can find suggest 3,5,7 or "whatever is proper for your data". Is it based on how many features I have? How many trees I have? How many samples I have? Some mixture?
Overall, 3/5/7 give similar results, but I don't know how to tell if its over or underfitted
Lintaar OP t1_j2f9ksa wrote
Reply to comment by frantonio1 in [D] Have you built ML models for your own use? by Lintaar
How many/which weather features does it use?