Aimer_Chen的博客

参考网站 http://blog.youkuaiyun.com/shenziheng1/article/details/541786851. >>help svmtrainSVMSTRUCT = svmtrain(TRAINING, Y) trains a support vector machine (SVM) classifier on data taken from two

Parameters: [5x1 double]  %结构体变量，依次保存的是 -s -t -d -g -r等参数      nr_class: 4    %分类的个数          totalSV: 39    %总的支持向量个数           rho: [6x1 double]   %b=-model.rho         Label: [4x1 double]

optimization finished, #iter = 480 迭代次数nu = 0.909091 SVC,one-class-SVM,SVR参数obj = -108.333321 二次规划的最小值rho = -0.166667 决策函数常数项nSV = 220 支持向量数nBSV = 100 边界上支持向量数Total nSV = 220 支持向量总数Accur