问题描述
出于预测目的，我正在使用Java版本的libsvm(回归).在训练完我的数据集之后，生成的模型显示了支持向量，但是没有显示训练错误率.我想知道是否可以找到我的训练集的训练错误?有什么我可以调用的函数，或者可以用来查找它的类属性吗?
I’m using java version of libsvm (regression) for prediction purposes.After training my data set, the generated model shows the Support Vectors, but no indication on the training error rate. I would like to know if it's possible to find the training error of my training set? Is there any function I can call, or a class attribute I can use to find it?
谢谢
推荐答案
您将不得不从训练集中创建一个svm_problem，并在该集合上调用svm_predict(..)-然后计算MSE(均方误差)-但是请注意，与神经网络相比， LibSVM在回归数据集上的表现相当差..
You will have to create a svm_problem from your training-set and call svm_predict(..) on that - then compute the MSE (mean squared error) - but note that LibSVM performs quite poor on regression datasets compared to neural networks.
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