A Characterization of Prediction Errors
Machine Learning
2016-11-21 v1
Abstract
Understanding prediction errors and determining how to fix them is critical to building effective predictive systems. In this paper, we delineate four types of prediction errors and demonstrate that these four types characterize all prediction errors. In addition, we describe potential remedies and tools that can be used to reduce the uncertainty when trying to determine the source of a prediction error and when trying to take action to remove a prediction errors.
Keywords
Cite
@article{arxiv.1611.05955,
title = {A Characterization of Prediction Errors},
author = {Christopher Meek},
journal= {arXiv preprint arXiv:1611.05955},
year = {2016}
}