【发布时间】:2022-09-30 21:13:27
【问题描述】:
输入:-
from sklearn import svm #Creating a svm classifier model
clf=svm.SVC(gamma=.001,probability=True) #train_data_flat_tModel training
train = clf.fit(train_data_flat_t, train_labels)
predicted= clf.predict(test_data_flat_t)
score = clf.score(test_data_flat_t,test_labels)
print(\"score\",score)
with open(\'output.txt\', \'w\') as file:
file.write(str(np.mean(score)))
输出:-
NameError Traceback (most recent call last)
<ipython-input-57-50a70d105279> in <module>
3 clf=svm.SVC(gamma=.001,probability=True) #train_data_flat_tModel training
4
----> 5 train = clf.fit(train_data_flat_t, train_labels)
6 predicted= clf.predict(test_data_flat_t)
7
NameError: name \'train_data_flat_t\' is not defined
请帮我绕过这个。
标签: python