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SVM predicting '1' for every test image.

I am using SVM for facial expression recognition through opencv. I have trained my svm model with 50 images for each expression(happy, sad, angry) assigning labels 0,1,2 for each expression respectively, however while testing it predicts only '1' as label (that is label for sad). What should I do??