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Lecture 17: AdaBoost and ensemble Learning Instructor: Prof. Shuai Huang Industrial and Systems Engineering University of Washington Random forest is one example Ensemble learning is very flexible. It is a hodgepodge of models, combined in

Lecture 17: AdaBoost and ensemble Learning Instructor: Prof. Shuai Huang Industrial and Systems Engineering University of Washington
Random forest is one example • Ensemble learning is very flexible. It is a hodgepodge of models, combined in different ways, trained in different ways … • It is the cocktail treatment in machine learning to handle complex datasets
The AdaBoost algorithm
Why ensemble learning makes sense?
R lab • Download the markdown code from course website • Conduct the experiments • Interpret the results • Repeat the analysis on other datasets

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