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Length of label vector does not match # of instances. Usage: [predicted_label, accuracy, decision_values/prob_estimates] = svmpredict(testing_label_vector, testing_instance_matrix, model, 'libsvm_options') Parameters: model: SVM model structure from svmtrain. libsvm_options: -b probability_estimates: whether to predict probability estimates, 0 or 1 (default 0); one-class SVM not supported yet Returns: predicted_label: SVM prediction output vector. accuracy: a vector with accuracy, mean squared error, squared correlation coefficient. prob_estimates: If selected, probability estimate vector. Error: label vector and instance matrix must be double model file should be a struct array Model supports probability estimates, but disabled in predicton. 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