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  BalazsBarany Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 955 Unicorn

  April 2021

  Hi,
  
  in the RapidMiner Academy there are multiple videos about Naive Bayes.
  
  Here's RapidMiner founder Ingo explaining the algorithm:
  https://academy.rapidminer.com/learn/article/naive-bayes-are-we-playing-golf-today
  
  If you look at the model description, it says:
  
  

  SimpleDistribution

  Distribution model for label attribute Play
  
  Class no (0.357143)
  4 distributions
  
  Class yes (0.642857)
  4 distributions

  These are exactly the fractions of the values in the entire distribution - the prior probability of the class in the training data.
  
  The numbers you see in the table can be interpreted as "the fraction of the data where Outlook = overcast and Play = yes". 
  
  Regards,
  Balázs

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  Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn

  April 2021

  If you look at the table, you can see that the probabilities shown will total to 1 (not accounting for rounding) for each class for each attribute.  So there are 4 possible values for the outlook attribute (rain, overcast, sunny, unknown) and 2 classes (yes/no) and the sums for each set will total to 1. 

  Brian T.
  Lindon Ventures 
  Data Science Consulting from Certified RapidMiner Experts

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