转载博文：win10(64-bit) + python3.6.0(64-bit) 配置libsvm-3.22
https://blog.csdn.net/weixin_35884839/article/details/79398085 （亲测是成功的！）
测试例子：
https://blog.csdn.net/jeryjeryjery/article/details/72628255
libsvm的README：
The above command loads
svm_train() : train an SVM model
svm_predict() : predict testing data
svm_read_problem() : read the data from a LIBSVM-format file.
svm_load_model() : load a LIBSVM model.
svm_save_model() : save model to a file.
evaluations() : evaluate prediction results.
- Function: evaluations
Calculate some evaluations using the true values (ty) and predicted
values (pv):
>>> (ACC, MSE, SCC) = evaluations(ty, pv)
ty: a list of true values.
pv: a list of predict values.
ACC: accuracy.
MSE: mean squared error.
SCC: squared correlation coefficient.
Libsvm使用方法，各函数作用等：
https://www.cnblogs.com/Finley/p/5329417.html