https://github.com/vanbanTruong/FAHT

Code for reproducing results in FAHT (IJCAI 19)
https://github.com/vanbanTruong/FAHT

Last synced: 2 months ago
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Code for reproducing results in FAHT (IJCAI 19)

• Host: GitHub
• URL: https://github.com/vanbanTruong/FAHT
• Owner: vanbanTruong
• Created: 2019-05-19T10:01:55.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-02T06:05:06.000Z (about 5 years ago)
• Last Synced: 2024-08-01T17:32:13.943Z (5 months ago)
• Language: Java
• Homepage:
• Size: 188 KB
• Stars: 8
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• awesome-decision-tree-papers - [Code
• awesome-decision-tree-papers - [Code

README

        
# FAHT

The implementation of FAHT (IJCAI 19), a fair classifier for online stream based decision-making. Detailded information about FAHT is provided in [FAHT](https://www.ijcai.org/proceedings/2019/0205.pdf).  

## Instructions

1. Clone this repository.

2. Download the datasets as described in the Experiment/Data folder of this repository to the root folder of the project.

3. Run the code with Weka > 3.9.  

      *In Experiment folder: InstanceStreamClassifier.java and WindowStreamClassifier.java evaluate the landmark window model       and sliding window model, respectively.  

      *The FAHT folder contains the source code of the proposed FAHT.

  

## Citation

@inproceedings{zhang2019faht,  

     title={FAHT: an adaptive fairness-aware decision tree classifier},  

     author={Zhang, Wenbin and Ntoutsi, Eirini},  

     booktitle={Proceedings of the 28th International Joint Conference on Artificial Intelligence},  

     pages={1480--1486},  

     year={2019},  

     organization={AAAI Press}  

}