SVM-输出训练集的准确率为: 0.975 SVM-输出测试集的准确率为: 0.9666666666666667 precision recall f1-score support

       0       1.00      1.00      1.00        11
       1       0.92      1.00      0.96        11
       2       1.00      0.92      0.96         8

accuracy                           0.97        30

macro avg 0.97 0.97 0.97 30 weighted avg 0.97 0.97 0.97 30

import numpy as npfrom sklearn import svmfrom sklearn import datasetsfrom sklearn import metricsfrom sklearn import model_selectionimport matplotlibpyplot as pltiris = datasetsload_irisx y = irisdatai

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