A 4.2.1 / A 4.2.2 Worksheet Answers
Part 1: Data Cleaning Part 2: Scenario Analysis Part 3: Feature Selection A Filter method selects features based on their intrinsic statistical properties (e.g., their correlation with the target variable), independently of the machine learning model. A Wrapper method uses the ML model itself as a black box to find the best subset of features by training and evaluating the model multiple times on different feature...