A bias measure using the fuzzy rough set theory
Project description
Using fuzzy-rough sets to measure bias in pattern classification problems
This python package contains a bias metric based on the paper "A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets" (Link to publication).
This bias metric measures the extent to which a feature in a dataset influences the outcome variable.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fairfru-0.3.5.tar.gz.
File metadata
- Download URL: fairfru-0.3.5.tar.gz
- Upload date:
- Size: 5.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e83ec2b5f692a149725fe40277ac18f158784320b985e944772722025ed313ae
|
|
| MD5 |
8c37eab50173b5e14bb56fa4b9607764
|
|
| BLAKE2b-256 |
5095f843fa8a3e737c95bf988a773f1084bc83c65e5e1c0a00d66c3bfd815d23
|
File details
Details for the file FairFRU-0.3.5-py3-none-any.whl.
File metadata
- Download URL: FairFRU-0.3.5-py3-none-any.whl
- Upload date:
- Size: 8.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
39b50c189121b217e7a35421dfa9491d5858463d22df368964e36e5fbeb03af8
|
|
| MD5 |
4c12479b0ab24b51d49f86bfd56297c7
|
|
| BLAKE2b-256 |
88763f13c678af0e67c99fc443f5bf57236130d31487aa2c9642d9e65370c0f6
|
