Robindro, Khumukcham; Devi, Sanasam Surjalata; Clinton, … - In: Data science and management : DSM 7 (2024) 1, pp. 64-73
Feature selection (FS) is a data preprocessing step in machine learning (ML) that selects a subset of relevant and informative features from a large feature pool. FS helps ML models improve their predictive accuracy at lower computational costs. Moreover, FS can handle the model overfitting...