how to calculate the precision and F1?

user_10229072 0
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i am using TF_IDF for for feature selection and Naive Bayes Classifier. i want to calculate the total accuracy and precision.

accuracy = train_model(naive_bayes.MultinomialNB(), xtrain_count, train_y, xvalid_count)
  print("NB, Count Vectors: ", accuracy)

 # Naive Bayes on Word Level TF IDF Vectors
  accuracy = train_model(naive_bayes.MultinomialNB(), xtrain_tfidf, train_y, xvalid_tfidf)
    print("NB, WordLevel TF-IDF: ", accuracy)

    # Naive Bayes on Ngram Level TF IDF Vectors
   accuracy = train_model(naive_bayes.MultinomialNB(), xtrain_tfidf_ngram, train_y, 
   xvalid_tfidf_ngram)
  print("NB, N-Gram Vectors: ", accuracy)

 # Naive Bayes on Character Level TF IDF Vectors
  accuracy = train_model(naive_bayes.MultinomialNB(), xtrain_tfidf_ngram_chars, train_y, 
   xvalid_tfidf_ngram_chars)
  print("NB, CharLevel Vectors: ", accuracy)
naivebayes machine-learning precision
1 Answers

use this:

from sklearn.metrics import classification_report

print(classification_report(true_value,predicted_value))

this will give you all that you want

user_138108720
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