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
Answers
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
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
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts