Data Preprocessing Questions
Feature selection is the process of selecting a subset of relevant features from a larger set of features in a dataset. It aims to improve the performance of machine learning models by reducing the dimensionality of the data and removing irrelevant or redundant features. Feature selection helps in improving model accuracy, reducing overfitting, and enhancing the interpretability of the model.