Hi! I am trying to run an SVM with more features than usual. In the past, I have been able to run SVMs with more than one feature successfully. This time I am just adding more than usual. I am obtaining training data from other images and using it to test in a particular image (this hasn't brought trouble before). However, I got the error you see in the screen capture. I rechecked the samples I exported from other images to make the training set multiple times. I cannot find a reason why this error is occurring after having run SVMs successfully in the same way. Could it be that I am using too many features (226)? Is there a limit? Thanks!