Naive Bayesian Classification
Consider this scenario. You and your friend Alex like to play tennis every Saturday morning. However, today you're running late. Alex has a history of playing or not playing tennis based on the weather conditions at the time. You look back at the recent history of the weather conditions on previous days to form a model and try to predict whether or not Alex will play tennis today. The table given table is the training data, and you will input the weather conditions for today. Then we will use Naive Bayesian Classification to predict whether or not a game will be played today.