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Feature Selecetion on Dataset of Breast Cancer by R Programming
Principal Component Analysis Example Notebook.
A comparison of the accuracy of various classification models using Wisconsin breast cancer data
I applied the bagging and boosting methods using the decision tree as the base predictor on the sklearn’s breast cancer data set. I experiment with different parameters and report the results obtained.