Naive Bayes Classifiers over Missing Data

This repository contains the source code implementation of the ICML'24 paper Naive Bayes Classifiers over Missing Data: Decision and Poisoning.

Installation

install the package using pip

pip install -r requirements.txt

To reproduce the main experiment results in our paper, run the following command:

Create the folder to store results: mkdir result

Run the code: cd decison/single_poisoning/multiple_poisong and bash run.sh

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
datasets		datasets
decision		decision
multiple_poisoning		multiple_poisoning
single_poisoning		single_poisoning
tools		tools
.gitignore		.gitignore
README.md		README.md
requirements.txt		requirements.txt