Implement Bagging Classifier with Decision Stumps

Medium · Solved in NumPy · Machine learning coding practice

Problem

Implement a Bagging (Bootstrap Aggregating) classifier that uses decision stumps as base estimators. A decision stump is a one-level decision tree that makes predictions based on a single feature and threshold.

Topics: ensemble-methods, bagging, decision-trees, bootstrap-sampling, machine-learning, classification

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