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RFCBF: enhance the performance and stability of Fast Correlation-Based Filter
Feature selection is a preprocessing step which plays a crucial role in the domain of machine learning and data mining.
Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification
In the second stage, XGBoost-MOGA searches for an optimal gene subset based on the most relevant genes's group using a multi-objective optimization genetic algorithm.
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