# Collapsing the Decision Tree: the Concurrent Data Predictor

arXiv: https://arxiv.org/abs/2108.03887 · HTML: https://mlsanity.com/paper/2108.03887/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 9 references that are in the map.
- First posted on arXiv 9 Aug 2021.

## Built on by (most cited first, 4 of 4)

- [Probabilistic Alternatives to the Gower Distance: A Note on Deodata Predictors](https://mlsanity.com/paper/2201.06355/) (2022)
- [Backtrack Tie-Breaking for Decision Trees: A Note on Deodata Predictors](https://mlsanity.com/paper/2202.03865/) (2022)
- [Interfering Paths in Decision Trees: A Note on Deodata Predictors](https://mlsanity.com/paper/2202.12064/) (2022)
- [Accuracy Convergent Field Predictors](https://mlsanity.com/paper/2205.03712/) (2022)

## Abstract (arXiv)

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.