Naive Bayes Classifier

How it works

Naive Bayes predicts the probability of a class based on prior knowledge of conditions related to that class. It assumes all features are independent (the "naive" assumption).

The formula maximizes:

Select a dataset to see the calculated probabilities and run your own predictions below.

Dataset (shown: 14; total 14)

id	outlook	temp	humidity	wind	play
1	sunny	hot	high	false	no
2	sunny	hot	high	true	no
3	overcast	hot	high	false	yes
4	rainy	mild	high	false	yes
5	rainy	cool	normal	false	yes
6	rainy	cool	normal	true	no
7	overcast	cool	normal	true	yes
8	sunny	mild	high	false	no
9	sunny	cool	normal	false	yes
10	rainy	mild	normal	false	yes
11	sunny	mild	normal	true	yes
12	overcast	mild	high	true	yes
13	overcast	hot	normal	false	yes
14	rainy	mild	high	true	no

Configuration

Column Roles

outlook

temp

humidity

wind

play