親測,運行環境win10 64位系統,matlab R2014b libsvm-3.21 visual studio 2013
下載:http://download.csdn.net/download/u012260117/9810317
libsvm
測試數據集
1,下載libsvm
2,解壓到C:\Program Files\MATLAB\R2014b\toolbox
3,設置路徑
Add Folder和Add with Subfolders都設置。
4,打開make.m
輸入make
5、拷貝4步驟中C:\Program Files\MATLAB\R2014b\toolbox\libsvm-3.22\libsvm-3.22\matlab文件夾下所有make出來的文件,到libsvm-3.21\windows文件夾下,全部替換。
測試:
測試數據集下載:
>> load heart_scale.mat
>> model = svmtrain(heart_scale_label, heart_scale_inst, '-c 1 -g 0.07');
>> [predict_label, accuracy, dec_values] = svmpredict(heart_scale_label, heart_scale_inst, model);
輸出:
*
optimization finished, #iter = 134
nu = 0.433785
obj = -101.855060, rho = 0.426412
nSV = 130, nBSV = 107
Total nSV = 130
Accuracy = 86.6667% (234/270) (classification)
得到了分類精度,這就證明libsvm安裝成功!