Algorithm · ByteDance · Easy
Requirements Complete a bagging implementation that creates bootstrap training samples for the base classifiers, trains each classifier separately, and merges their predictions through majority voting. Use no imports other than those already supplied. A compatible Python function signature is: Examples Example 1 Input: The classifiers predict [0, 1, 1] for one test point. Output: 1 Explanation: Class 1 receives the most votes. Example 2 Input: The classifiers predict [2, 2,…