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Python Machine Learning: Perform Python Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Vahid Mirjalili, Sebastian Raschka

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Leveraging weak learners via adaptive boosting

In this last section about ensemble methods, we will discuss boosting with a special focus on its most common implementation, AdaBoost (Adaptive Boosting).

Note

The original idea behind AdaBoost was formulated by Robert E. Schapire in 1990. The Strength of Weak Learnability, R. E. Schapire, Machine Learning, 5(2): 197-227, 1990. After Robert Schapire and Yoav Freund presented the AdaBoost algorithm in the Proceedings of the Thirteenth International Conference (ICML 1996), AdaBoost became one of the most widely used ensemble methods in the years that followed (Experiments with a New Boosting Algorithm by Y. Freund, R. E. Schapire, and others, ICML, volume 96, 148-156, 1996). In 2003, Freund and Schapire ...

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