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I am using rbf,Support Vector machine for large training set=1135x9 matrix and test set{95x9}.
I am using C=20 and gamma=0.0001
'the result are as follows
optimization finished, iter = 3904
nu = 0.187228
obj = -2499.485353, rho = -0.072050
nSV = 852, nBSV = 48
Total nSV = 852
<Accuracy = 63.1579% (60/95) (classification)
我要问什么应该是最佳的S &伽马该数据集高斯SVM参数C和伽玛
像lennon310在他的回答中说,你可以做一个网格搜索来找出好的参数。他们可以为每个数据集不同,所以你真的需要自己找到它们。 – Sentry