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Problem Understanding: Benign(2) vs malignant (4)

In this project, we aim to build Machine Learning classifiers that predict wether a breast cancer is bengnin or malignant.

To achieve the goals we consider two cases:

Case1: Here we build single models namely Logistic regression, SVM, FCN, Decision tree.

Case2: Here we build combined models in order to form ensemble learning models. In this case tree approaches were considered

  • Bagging algorithm;
  • Adaboost algorithm;
  • Voting algorithm.

Ensemble Methods

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