AttributeError : 'GaussianNB'개체가 어떤 속성 'accuracy_score을'이없는

Question

의 I 오류를 가지고 다음 "AttributeError : 'GaussianNB'객체 'accuracy_score'에는 속성이 없습니다"실행하는 동안

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) 

과 email_preprocess.py 인을 다음과 같이

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 

아무도 도와 줄 수 있습니까?

Answer 1

당신은이 :

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

당신과 최고의 clf.가 GaussianNB 인스턴스 accuracy_score을 찾기 위해 노력하고 제거해야합니다.

시도 :

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