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Binary classification is the task of classifying the elements of a set into two groups on the basis of a classification rule.Typical binary classification problems include Medical testing to determine if a patient has certain disease or not Quality control in industry deciding whether a specification has been met In information retrieval deciding whether a page should be in the

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In statistics naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong naive independence assumptions between the features see Bayes classifier .They are among the simplest Bayesian network models but coupled with kernel density estimation they can achieve high accuracy levels. Naive Bayes classifiers are

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May 31 2020  tokenizer.tokenize converts the text to tokens and tokenizernvert tokens to ids converts tokens to unique integers. Some special tokens added by BERT are SEP CLS PAD BERT understands

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