Explanations of Model Predictions with live and breakDown Packages
By: Researcher
Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).
| Authors | Mateusz Staniak, Przemyslaw Biecek |
| Journal/Conference Name | ArXiv |
| Paper Category | Other |
| Paper Abstract | Complex models are commonly used in predictive modeling. In this paper we present R packages that can be used to explain predictions from complex black box models and attribute parts of these predictions to input features. We introduce two new approaches and corresponding packages for such attribution, namely live and breakDown. We also compare their results with existing implementations of state of the art solutions, namely lime that implements Locally Interpretable Model-agnostic Explanations and ShapleyR that implements Shapley values. |
| Date of publication | 2018 |
| Code Programming Language | R |
| Comment |
Copyright Researcher 2022