Naive Bayes Node
Outlook,Temperature,Humidity,Windy,Play Rainy,Hot,High,False,No Rainy,Hot,High,True,No Overcast,Hot,High,False,Yes Sunny,Mild,High,False,Yes Sunny,Cool,Normal,False,Yes Sunny,Cool,Normal,True,No Overcast,Cool,Normal,True,Yes Rainy,Mild,High,False,No Rainy,Cool,Normal,False,Yes Sunny,Mild,Normal,False,Yes Rainy,Mild,Normal,True,Yes Overcast,Mild,High,True,Yes Overcast,Hot,Normal,False,Yes Sunny,Mild,High,True,No The first 4 columns are 'dependent features' and the 'Play' column is the 'response vector' ( i.e., it is the prediction )
The fundamental Naive Bayes assumption is that each feature makes an is INDEPENDENT and EQUAL in weight
{P(B|A) P(A)}
P(A|B) = ______________________
{P(B)}
A nice description + the data for the tests herein:
https://www.geeksforgeeks.org/naive-bayes-classifiers/