Implementation of Bagging and AdaBoost Algorithm

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Deep LearningBagging-and-AdaBoost
Overview

Bagging-and-AdaBoost

Implementation of Bagging and AdaBoost Algorithm

  • Dataset
    • Red Wine Quality Data Sets
    • For simplicity, we will have 2 classes of wine instead of 3 classes by merging the ”good/2” and the ”normal/1” class as one. The samples are labeled as: ”good/1” (QS>=6) and ”bad/0” (QS<6). Then, we partition the data set into a training set and a testing set including 1000 samples and 599 samples respectively.
Owner
Zechen Ma
Zechen Ma
GitHub Repository
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