What Is Bagging in Machine Learning?
Introduction Bagging, or Bootstrap Aggregating, is a powerful ensemble learning technique in machine learning. It helps improve the stability and accuracy of machine learning models by reducing variance and preventing overfitting. In essence, bagging combines the predictions of multiple models to produce a more robust and reliable output. This method is particularly useful in scenarios