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from data import get_train_test_split
from model import *
from sklearn.metrics import accuracy_score,confusion_matrix,recall_score, f1_score
from sklearn.model_selection import cross_val_score
pipeline = get_naive_bayes_model()
X_train, X_test, y_train, y_test = get_train_test_split()
pipeline.fit(X_train, y_train)
cv_scores = cross_val_score(pipeline, X_train, y_train, cv=5)
print cv_scores 这个地方报错
predicted = pipeline.predict(X_test) # ['spam', 'ham']
print confusion_matrix(y_test, predicted)
print 'accuracy_score', accuracy_score(y_test, predicted)
print 'f1_score', f1_score(y_test, predicted)
print 'recall_score', recall_score(y_test, predicted) #输出confusion matrix，并加入cross_validation, 以全面检测模型性能
倒数第六行报错，我不知道怎么改了，求助
print是函数，需要小括号的，没有括号的写法是2.x语法
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狗仔卡
发表于 2021-5-21 22:25:36
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发表于 2021-5-24 19:06:39
