Based on the readme file in the libsvm package. The svmpredict matlab version function is used in the following way:
[predicted_label, accuracy, decision_values/prob_estimates] = svmpredict(testing_label_vector, testing_instance_matrix, model [, 'libsvm_options']);
The return value "accuracy" is always a three dimension vector. The first element in the vector is the classification accuracy. What are the other two?
Can I use the decision_values as the confidence score? Or prob_estimates?
Thanks so much.