Introduction to Ensemble Methods in Machine Learning

This article introduces Voting, Bagging, Boosting, and Stacking, the main ensemble methods used in machine learning

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In machine learning, the bias is the difference between the prediction of the model and the ground truth value, while the variance is the error from sensitivity to small fluctuations…