第15周作业 #高级编程技术

sklearn

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题目

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解题过程

1. Create a classification dataset (n samples 1000, n features 10)

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2. Split the dataset using 10-fold cross validation

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3. Train the algorithms

• GaussianNB
  
  

• SVC (possible C values [1e-02, 1e-01, 1e00, 1e01, 1e02], RBF kernel)
  
  

• RandomForestClassifier (possible n estimators values [10, 100, 1000])
  
  

4. Evaluate the cross-validated performance

• Accuracy
• F1-score
• AUC
• ROC