Implementation of Bagging and AdaBoost Algorithm

Last update: Nov 01, 2021

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Deep Learning Bagging-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

GitHub Repository

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Implementation of Bagging and AdaBoost Algorithm

Related tags

Overview

Bagging-and-AdaBoost

Owner

Zechen Ma

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