# eval

**Repository Path**: majianthu/eval

## Basic Information

- **Project Name**: eval
- **Description**: Code for the paper "Evaluating Independence and Conditional Independence Measures"
- **Primary Language**: R
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-09-06
- **Last Updated**: 2024-09-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

### Evaluating Independence and Conditional Independence Measures
Code for the Paper "Evaluating Independence and Conditional Independence Measures" which is available at [here](https://arxiv.org/abs/2205.07253) on arXiv. The [heart disease data](https://archive.ics.uci.edu/ml/datasets/heart+disease), [wine quality data](https://archive.ics.uci.edu/ml/datasets/wine+quality), and [Beijing air data](https://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data) from the UCI machine learning repository are used.