libsvm Java实现

在我看来，您的评估方法是错误的。应该是这样的：

public double evaluate(double[] features, svm_model model) {    svm_node[] nodes = new svm_node[features.length-1];    for (int i = 1; i < features.length; i++)    {        svm_node node = new svm_node();        node.index = i;        node.value = features[i];        nodes[i-1] = node;    }    int totalClasses = 2;int[] labels = new int[totalClasses];    svm.svm_get_labels(model,labels);    double[] prob_estimates = new double[totalClasses];    double v = svm.svm_predict_probability(model, nodes, prob_estimates);    for (int i = 0; i < totalClasses; i++){        System.out.print("(" + labels[i] + ":" + prob_estimates[i] + ")");    }    System.out.println("(Actual:" + features[0] + " Prediction:" + v + ")");    return v;}