能帮我解决一下这个问题吗?已经被困扰好几天了,谢谢
from sklearn.svm import SVC
svclf = SVC(kernel = 'linear')
svclf.fit(x_train,y_train)
preds = svclf.predict(x_test);
num = 0
preds = preds.tolist()
for i,pred in enumerate(preds):
if int(pred) == int(y_test[i]): #(这一行报错)
num += 1
print ('precision_score:' + str(float(num) / len(preds)))