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.
Project details
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
FairFRU-0.1.2.tar.gz
(4.2 kB
view details)
File details
Details for the file FairFRU-0.1.2.tar.gz.
File metadata
- Download URL: FairFRU-0.1.2.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
84414170ec73f580a1ea35a1968ec22d40e8d302fc03c81dec8f4ae412f38d4b
|
|
| MD5 |
d7127d37a5a4198be9b9cac0b65dc947
|
|
| BLAKE2b-256 |
0ff268a2ba52b122940b776cf758f0b496237580c4fbb163aa267751948616ce
|