Collapsing the Decision Tree: the Concurrent Data Predictor
Machine Learning
2021-08-10 v1
Abstract
A family of concurrent data predictors is derived from the decision tree classifier by removing the limitation of sequentially evaluating attributes. By evaluating attributes concurrently, the decision tree collapses into a flat structure. Experiments indicate improvements of the prediction accuracy.
Keywords
Cite
@article{arxiv.2108.03887,
title = {Collapsing the Decision Tree: the Concurrent Data Predictor},
author = {Cristian Alb},
journal= {arXiv preprint arXiv:2108.03887},
year = {2021}
}