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Naive Bayes Algorithm ppt

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Naive Bayes Algorithm ppt

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  • July 14, 2024
  • 11
  • 2023/2024
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  • Unknown
  • Secondary school
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Introduction to
Naive Bayes
Algorithm
 Naïve Bayes algorithm is a supervised learning algorithm, which is based on
Bayes theorem and used for solving classification problems.


 It is a probabilistic classifier, which means it predicts on the basis of the
probability of an object.


 Some popular examples of Naïve Bayes Algorithm are spam filtration,
Sentimental analysis, and classifying articles.

, Mathematical Formulation
of Naive Bayes



P(A|B) is Posterior probability: Probability of hypothesis A on the observed
event B.


P(B|A) is Likelihood probability: Probability of the evidence given that the
probability of a hypothesis is true.


P(A) is Prior Probability: Probability of hypothesis before observing the
evidence.


P(B) is Marginal Probability: Probability of Evidence.

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