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Java 如何在WEKA API中查看所有分类实例_Java_Classification_Weka_Prediction - Fatal编程技术网

Java 如何在WEKA API中查看所有分类实例

Java 如何在WEKA API中查看所有分类实例,java,classification,weka,prediction,Java,Classification,Weka,Prediction,我想查看我的分类实例 我试过这样的方法: for(int i = 0; i < dataSet.size(); i++) { double pred = nowy.classifyInstance(dataSet.instance(i)); double actual = dataSet.instance(i).classValue(); double[] dist = nowy.distributionForInstance(dataSet.instance(i)

我想查看我的分类实例

我试过这样的方法:

for(int i = 0; i < dataSet.size(); i++) {
    double pred = nowy.classifyInstance(dataSet.instance(i));
    double actual = dataSet.instance(i).classValue();
    double[] dist = nowy.distributionForInstance(dataSet.instance(i));

    if (pred != actual)
    {
        System.out.print((i+1));
        System.out.print(" - ");
        System.out.print(dataSet.instance(i).toString(dataSet.classIndex()));
        System.out.print(" - ");
        System.out.print(dataSet.classAttribute().value((int) pred));
        System.out.print(" - ");

        if (pred != dataSet.instance(i).classValue())
            System.out.print("no");
        else
            System.out.print("yes");
        System.out.println();

    }

}
for(int i=0;i

但是,由于正确/错误分类的实例数量与统计输出不同,因此它似乎不能很好地工作。

您还可以使用WEKA API中提供的评估类一次性测试所有实例

Instances trainData = ds.getDataset(); //get training dataset

SMO sm = new SMO(); //build classifier

sm.buildClassifier(data); //train classifier

Instances testData = ds.getDataSet(); //now get the test set

Evaluation eval = new Evaluation(data); //for recording results

eval.evaluateModel(sm, testData);

System.out.println(eval.toMatrixString()); //gives the confusion matrix for predictions