An implementation of the framework described in our paper titled "Impact of Discretization Noise on Machine Learning Classifiers when Studying Software Engineering Datasets". This package provides an automated way of applying the framework for any given dataset. Currently the package supports the impact analysis on Random Forest, Logistic Regression, Classification Trees and K-NN. Both the impact on performance and feature importance can be estimated for any given dataset. Please refer our paper for more detailed information.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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