Pr(\text{algorithm}) \cdot Pr(\text{probability})](http://s3.amazonaws.com/dataskeptic.com/latex/Pr%28%5C%5Ctext%7Balgorithm%7D+%5C%5Ccap+%5C%5Ctext%7Bprobability%7D%29+%253E+Pr%28%5C%5Ctext%7Balgorithm%7D%29+%5C%5Ccdot+Pr%28%5C%5Ctext%7Bprobability%7D%29.svg), violating the assumption. Despite this "flaw", the Naive Bayesian Classifier works remarkably will on many problems. If one employs the common approach of converting a document into bigrams (pairs of words instead of single words), then you can capture a good deal of this correlation indirectly. In the final leg of the discussion, we explore the question of whether or not a Naive Bayesian Classifier would be a good choice for detecting fake news." /> Spam Filtering with Naive Bayes Pr(\text{algorithm}) \cdot Pr(\text{probability})](http://s3.amazonaws.com/dataskeptic.com/latex/Pr%28%5C%5Ctext%7Balgorithm%7D+%5C%5Ccap+%5C%5Ctext%7Bprobability%7D%29+%253E+Pr%28%5C%5Ctext%7Balgorithm%7D%29+%5C%5Ccdot+Pr%28%5C%5Ctext%7Bprobability%7D%29.svg), violating the assumption. Despite this "flaw", the Naive Bayesian Classifier works remarkably will on many problems. If one employs the common approach of converting a document into bigrams (pairs of words instead of single words), then you can capture a good deal of this correlation indirectly. In the final leg of the discussion, we explore the question of whether or not a Naive Bayesian Classifier would be a good choice for detecting fake news." /> Pr(\text{algorithm}) \cdot Pr(\text{probability})](http://s3.amazonaws.com/dataskeptic.com/latex/Pr%28%5C%5Ctext%7Balgorithm%7D+%5C%5Ccap+%5C%5Ctext%7Bprobability%7D%29+%253E+Pr%28%5C%5Ctext%7Balgorithm%7D%29+%5C%5Ccdot+Pr%28%5C%5Ctext%7Bprobability%7D%29.svg), violating the assumption. Despite this "flaw", the Naive Bayesian Classifier works remarkably will on many problems. If one employs the common approach of converting a document into bigrams (pairs of words instead of single words), then you can capture a good deal of this correlation indirectly. In the final leg of the discussion, we explore the question of whether or not a Naive Bayesian Classifier would be a good choice for detecting fake news." />