Enhancing Forecast Accuracy: Advanced Techniques in Bagging and Random Forests for Machine Learning Models
Random Forest is a type of ensemble learning method, which is used to build a model by combining multiple decision trees. The main idea behind using Random Forest is that multiple decision trees will provide a more accurate and stable prediction than a single decision tree. The Boston Housing Price dataset from UCI …