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SVM数据分类

于 2022-08-24 发布 文件大小:305.68 kB
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在Matlab环境下,利用libsvm工具包设计一个两类SVM分类器,在给定的训练集(wilt_training_set)上进行训练,其中类别标号为1的数据作为正例,类别标号为-1的数据作为反例,然后在测试集(wilt_testing_set)上统计你所设计的SVM分类器的性能。SVM分类器在测试集上的分类正确率能达到90%以上。

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