Revision history [back]

Linear kernel only one that does not return poor classification

After trying different kernels in OpenCV, I realised that whenever I switched from a linear kernel to another, the classifier would stop functioning properly and classify all data as the same label. I currently have six different labels and am trying to classify features from three dimensional arrays. Is there anything I'm missing? Thank you in advance!

Linear kernel only one that does not return poor classification

After trying different SVM kernels in OpenCV, I realised that whenever I switched from a linear kernel to another, the classifier would stop functioning properly and classify all data as the same label. I currently have six different labels and am trying to classify features from three dimensional arrays. Is there anything I'm missing? Thank you in ~~advance!~~ advance!