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feature-selec

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fatma-noor / high-dimensional-feature-selection

Comparative analysis of 6 feature selection methods for high-dimensional neural decoding (p >> n) with 11,190 features and 683 samples

python machine-learning random-forest scikit-learn high-dimensional-data lasso classification dimensionality-reduction elastic-net gradient-boosting mrmr wrapper-methods embedded-methods forward-stepwise feature-selec

Updated Feb 20, 2026
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