はAttributeError：「GaussianNB」オブジェクトには属性「accuracy_score」を持っていない

Question

私はエラーを得た次「はAttributeError： 『GaussianNB』オブジェクトが 『accuracy_score』は属性を持っていない」実行中

import sys 
    from time import time 
    sys.path.append("../tools/") 
    from email_preprocess import preprocess 
    features_train, features_test, labels_train, labels_test = preprocess() 
    from sklearn.naive_bayes import GaussianNB 
    clf = GaussianNB() 
    clf.fit(features_train, labels_train) 
    pred=clf.predict(features_test) 
    from sklearn.metrics import accuracy_score 
    print clf.accuracy_score(pred, labels_test) 

とemail_preprocess.pyがあるが

import pickle 
    import cPickle 
    import numpy 
    from sklearn import cross_validation 
    from sklearn.feature_extraction.text import TfidfVectorizer 
    from sklearn.feature_selection import SelectPercentile, f_classif 
    def preprocess(words_file = "../tools/word_data.pkl", 
    authors_file="../tools/email_authors.pkl"): 
     authors_file_handler = open(authors_file, "r") 
     authors = pickle.load(authors_file_handler) 
     authors_file_handler.close() 
     words_file_handler = open(words_file, "r") 
     word_data = cPickle.load(words_file_handler) 
     words_file_handler.close() 
     features_train, features_test, labels_train, labels_test = 
     cross_validation.train_test_split(word_data, authors, 
     test_size=0.5,random_state=42) 
     vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5, 
          stop_words='english') 
     features_train_transformed = vectorizer.fit_transform(features_train) 
     features_test_transformed = vectorizer.transform(features_test) 
     selector = SelectPercentile(f_classif, percentile=10) 
     selector.fit(features_train_transformed, labels_train) 
     features_train_transformed = 
     selector.transform(features_train_transformed).toarray() 
     features_test_transformed = 
     selector.transform(features_test_transformed).toarray() 
     print "no. of Chris training emails:", sum(labels_train) 
     print "no. of Sara training emails:", len(labels_train)- 
     sum(labels_train) 
     return features_train_transformed, features_test_transformed, 
     labels_train, labels_test 

誰でも私にこれを手伝ってもらえますか？

Answer 1

あなたは持っている：

from sklearn.metrics import accuracy_score 
print clf.accuracy_score(pred, labels_test) 

あなたがそのよう有数clf.がGaussianNBインスタンスでaccuracy_scoreを見つけようとしている削除する必要があります。

試してみてください。

from sklearn.metrics import accuracy_score 
print accuracy_score(pred, labels_test)