Cross validation... Best c=8192.0, g=8.0 CV rate=93.3155 Training... Output model: parameters.data.model
The svm model file is generated, and the accuracy looks good. So I used svm-predict (executable file) to see if the generated SVM really classifies data. Here, the test data I used is exactly the same as the one I used for the training.
However all test data is classified as label 0. and the accuracy shown is really low. The command I executed is something like following.
python easy.py parameters.data # model and scale files are generated ./svm-predict parameters.data parameters.data.model svmpredict_output.log # svmpredict_output.log is all 0
Am I doing something wrong?