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(A) The relationship between the regularization parameter alpha of the Lasso regression algorithm and the number of feature selections (B) The relationship between the penalty coefficient C of the linear support vector machine and the correct rate of the prediction result under different alpha values (C) ROC curve of optimal classification results.
