Skip to content

Latest commit

 

History

History
15 lines (9 loc) · 574 Bytes

File metadata and controls

15 lines (9 loc) · 574 Bytes

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

Reproduce Experimental Results

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