https://github.com/sadmansakib93/sequential-forward-feature-selection
Python implementation of Sequential Forward Feature Selection from scratch.
https://github.com/sadmansakib93/sequential-forward-feature-selection
cross-validation feature-selection python sequential-forward-selection
Last synced: about 1 month ago
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Python implementation of Sequential Forward Feature Selection from scratch.
- Host: GitHub
- URL: https://github.com/sadmansakib93/sequential-forward-feature-selection
- Owner: SadmanSakib93
- Created: 2019-12-25T06:55:35.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-12-25T06:58:49.000Z (almost 6 years ago)
- Last Synced: 2025-03-01T11:26:45.479Z (7 months ago)
- Topics: cross-validation, feature-selection, python, sequential-forward-selection
- Language: Python
- Size: 20.5 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Sequential-Forward-Feature-Selection
Python implementation of Sequential Forward Feature Selection from scratch.
* The program will take one input: a dataset where the last column is the class variable.
* The program will load the dataset and then use the wrapper approach with a sequential forward selection strategy to find a set of essential features.
* Stratified 5-fold cross-validation was used for measuring accuracy.
* The program will keep adding the features as long as there is some improvement in the classification accuracy.
* The output of the program will be the set of important features on the console.