Question

因此以下代码永远不会打印准确性。

  1 #!/usr/bin/python
  2 
  3 """.
  4     This is the code to accompany the Lesson 2 (SVM) mini-project.
  5 
  6     Use a SVM to identify emails from the Enron corpus by their authors:....
  7     Sara has label 0
  8     Chris has label 1
  9 """
 10 ....
 11 import sys
 12 from time import time
 13 sys.path.append("../tools/")
 14 from email_preprocess import preprocess
 15 from sklearn import svm
 16 from sklearn.metrics import accuracy_score
 17 
 18 
 19 ### features_train and features_test are the features for the training
 20 ### and testing datasets, respectively
 21 ### labels_train and labels_test are the corresponding item labels
 22 features_train, features_test, labels_train, labels_test = preprocess()
 23 clf=svm.SVC(kernel='linear')
 24 clf.fit(features_train, labels_train)
 25 pred=clf.predict(features_test)
 26 print(accuracy_score(labels_test, pred))

我试图找出为什么行print(accuracy_score(labels_test, pred))根本不打印任何内容。它应该打印一些价值。可能是什么问题？

Answer 1

我添加了这行代码，使其打印出来。我见过人们通常使用1000次迭代：

clf=svm.SVC(kernel='linear',max_iter=100)

为什么不打印精度？

1 个答案: