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Distributed Genetic Algorithm for Feature Selection

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arxiv 2401.10846 v1 pith:3YN25J4D submitted 2024-01-19 cs.DC

Distributed Genetic Algorithm for Feature Selection

classification cs.DC
keywords algorithmfeaturegeneticselectionaccuracyadditionallyareacharacteristic
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We empirically show that process-based Parallelism speeds up the Genetic Algorithm (GA) for Feature Selection (FS) 2x to 25x, while additionally increasing the Machine Learning (ML) model performance on metrics such as F1-score, Accuracy, and Receiver Operating Characteristic Area Under the Curve (ROC-AUC).

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