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  • classifier of chains

    from skmultilearn.problem_transform import ClassifierChain
    from sklearn.naive_bayes import GaussianNB
    #scikit-learn version>=0.21
    from sklearn.metrics import multilabel_confusion_matrix
    from scipy.sparse import csr_matrix
    def svm():
      
      clf = ClassifierChain(GaussianNB())
      S = csr_matrix(train_labels)
      #S为sprase matrix
      clf.fit(train_features, S)
      
      prediction = clf.predict(csr_matrix(test_features))
      
      cnf_matrix = multilabel_confusion_matrix(y_true, y_prediction)
    # print(cnf_matrix)

      TN = cnf_matrix[:, 0, 0]
      TP = cnf_matrix[:, 1, 1]
      FN = cnf_matrix[:, 1, 0]
      FP = cnf_matrix[:, 0, 1]
      
      ACC = accuracy_score(y_true, y_prediction)
      TPR = metrics.recall_score(y_true, y_prediction, average='macro')
      TNR = np.mean(TN / (TN + FP))
      F1_score = metrics.f1_score(y_true, y_prediction, average='macro')
     
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  • 原文地址:https://www.cnblogs.com/muamu/p/11550717.html
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