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sample naive-bayes classification model

josh.ipynb answered on August 3, 2022 Popularity 10/10 Helpfulness 3/10

answer sample naive-bayes classification model

sample naive-bayes classification model

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# Import the necessary modules
from sklearn.naive_bayes import MultinomialNB
from sklearn import metrics

# Instantiate a Multinomial Naive Bayes classifier: nb_classifier
nb_classifier = MultinomialNB()

# Fit the classifier to the training data
nb_classifier.fit(count_train, y_train)

# Create the predicted tags: pred
pred = nb_classifier.predict(count_test)

# Calculate the accuracy score: score
score = metrics.accuracy_score(y_test, pred)
print(score)

# Calculate the confusion matrix: cm
cm = metrics.confusion_matrix(y_test, pred, labels=['FAKE', 'REAL'])
print(cm)

Popularity 10/10 Helpfulness 3/10 Language python

Source: campus.datacamp.com

Tags: classification model python

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