BaggingClassifier from Scikit-Learn
The BaggingClassifier is an ensemble meta-estimator in machine learning, belonging to the bagging family of methods. Bagging stands for Bootstrap Aggregating. The main idea behind bagging is to reduce variance by averaging the predictions of multiple base estimators trained on different subsets of the training data. Here’s how the BaggingClassifier works: The BaggingClassifier in scikit-learn…