Doug Lautzenheiser

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boosting can lead to a decrease in bias as well as variance compared to bagging models. In practice, however, boosting algorithms such as AdaBoost are also known for their high variance, that is, the tendency to overfit the training data
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
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