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A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning

The data acquisition methods are becoming increasingly diverse and advanced, leading to higher data dimensions, blurred classification boundaries, and overfitting datasets, affecting machine learning ...

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A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning

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