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