Cart Algorithm in Matlab with more than binary splits?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Hello everyone, I want to create a Decision Tree from non-numerical, categorical data (for example I want to predict whether one should play tennis according to the weather conditions which are given categorical like "hot", "mild" or "cold"). The functions in matlab only seem to be using binary splits (maybe I am also wrong), however, I would wish to also allow for splits into more than just 2 branches per node...So do you know how I can have non-numerical predictor data and then allow for more than just binary splits?
A concrete example would be great!
0 comentarios
Respuestas (1)
Ilya
el 14 de Mayo de 2012
The CART algorithm described in the book by Breiman et al. uses binary splits only. The MATLAB implementation is based on this algorithm and allows only binary splits. Multiway splits are allowed in other decision tree algorithms such as C4.5.
There is no evidence that multiway splits produce consistently higher accuracy than binary splits, or the other way around.
0 comentarios
Ver también
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!