请教一个svm测试的问题。弄了一个星期最后还是没有成功，求指点

svm按版主的方法安装好了，可是在测试的时候出现如下情况，>> load heart_scale;>> model=svmtrain(heart_scale_label,heart_scale_inst)>> [predict_lebel,accuracy]=svmpredict(heart_scale_label,heart_scale_inst,model)Usage: [predicted_label, accuracy, decision_values/prob_estimates] = svmpredict(testing_label_vector, testing_instance_matrix, model, 'libsvm_options') [predicted_label] = 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 -q : quiet mode (no outputs)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.predict_lebel = []accuracy = []