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High Dimensional Human Guided Machine Learning

Artificial Intelligence 2016-09-06 v1 Machine Learning Machine Learning

Abstract

Have you ever looked at a machine learning classification model and thought, I could have made that? Well, that is what we test in this project, comparing XGBoost trained on human engineered features to training directly on data. The human engineered features do not outperform XGBoost trained di- rectly on the data, but they are comparable. This project con- tributes a novel method for utilizing human created classifi- cation models on high dimensional datasets.

Keywords

Cite

@article{arxiv.1609.00904,
  title  = {High Dimensional Human Guided Machine Learning},
  author = {Eric Holloway and Robert Marks},
  journal= {arXiv preprint arXiv:1609.00904},
  year   = {2016}
}

Comments

3 pages, 1 figure, HCOMP 2016 submission, work in progress

R2 v1 2026-06-22T15:39:27.080Z