Matlab预测功能不起作用 [英] Matlab predict function not working

问题描述

我正在尝试在具有100个维度的数据上训练线性SVM.我有80个实例需要培训.我在MATLAB中使用fitcsvm函数训练SVM，并在训练数据上使用predict检查该函数.当我使用SVM对训练数据进行分类时，所有数据点仅被分类为一类.

I am trying to train a linear SVM on a data which has 100 dimensions. I have 80 instances for training. I train the SVM using fitcsvm function in MATLAB and check the function using predict on the training data. When I classify the training data with the SVM all the data points are being classified into only one class.

SVM = fitcsvm(votes,b,'ClassNames',unique(b)');
predict(SVM,votes);

这给出了全0的输出，对应于第0类. b包含1和0，指示每个数据点所属的类. 所使用的数据(即矩阵votes和向量b)具有以下

This gives outputs as all 0's which corresponds to 0th class. b contains 1's and 0's indicating the class to which each data point belongs. The data used, i.e. matrix votes and vector b are given the following link

推荐答案

确保使用非线性内核，例如高斯内核，并且已调整内核的参数.只是一个起点:

Make sure you use a non-linear kernel, such as a gaussian kernel and that the parameters of the kernel are tweaked. Just as a starting point:

SVM = fitcsvm(votes,b,'KernelFunction','RBF', 'KernelScale','auto');
bp = predict(SVM,votes);

表示您应该将训练集分为训练集和测试集，否则可能会过度拟合

that said you should split your set in a training set and a testing set, otherwise you risk overfitting

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