Efficient Feature Selection Algorithm Based on Particle Swarm Optimization With Learning Memory
Feature Console Table selection is an important pre-processing step in machine learning and data mining tasks, which improves the performance of the learning models by removing redundant and irrelevant features.Many feature selection algorithms have been widely studied, including greedy and random search approaches, to find a subset of the most imp