Cross validation error meaning in decision tree program
2 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
I need help deciphering what a cross valiadation error (kfoldloss) of 536 means. I've developed a program that creates a decision tree. The program runs with 2,286 data points for several different variables. Does this mean that the model gets 536 predictions incorrect?
Attached is the code. Thanks for your responses and help.
0 Commenti
Risposte (1)
Alain Kuchta
il 20 Apr 2017
You may find the explanation of Classification Loss from the documentation helpful in understanding this measure:
0 Commenti
Vedere anche
Categorie
Scopri di più su Statistics and Machine Learning Toolbox in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!