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Experiment2

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  1. LR_Drug_selection.ipynb

LogisticRegression Model

Step1: PCA降维,降到二维(x_1,x_2)

Step2: 特征映射Feature mapping 算法,将x_1,x_2映射到28个特征,6次幂多项式

Step3: 构建LogisticRegression模型

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  1. SVM_RBF.ipynb

SVM Model with RBF kernel

Step1: PCA降维,降到二维(x_1,x_2)

Step2: 再投射到三维空间进行可视化

Step3: 构建基于RBF核的SVM模型

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