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GitHub / aniagud / ML-feature-extraction

ML: Experimental comparison of feature extraction methods (PCA, KPCA, LDA and no extraction) for various classifiers (kNN, SVM, CART, GNB, MLP and neural networks) for medical and synthetic data (both balanced and imbalanced) in python.

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Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Python
Repo Size: 46 MB
Dependencies: 16

Created: over 3 years ago
Updated: over 3 years ago
Last pushed: over 3 years ago
Last synced: over 1 year ago

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    Dependencies
    requirements.txt pypi