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AbstractIn a world where there are various species of plants, insects, and animals, its important to be able to identify certain characteristics from similar data that has been collected. By using this data collected about mushrooms, unknown species in the future can be deemed poisonous or edible from statistical information gathered in the past. By growing a large collection of data, the predictions or probability get more accurate.

Project TitleProject Author,#1 major, Project Author,#2 major, Project Author,#3 major and Project Author,#1 major, Wentworth Institute of Technology, Boston MAText & Graphics

Advantages/Disadvantages of Nave Bayes Advantages: 1) Fast to train. 2) Fast to classify 3) Not sensitive to irrelevant features 4) Handles real and discrete data 5) Handles streaming data well

Disadvantages: 1) Assumes independence of features

Real Applications:

1) Bayesian's theorem helps you to become a much more solid investor.

2) Pridect the weather

3) Drug testing

4) the probability the patient has cancer, given the screening reports a tumour

5) What is the probability the car is good, given that it has a warranty?Given that the car is good, there is a 90% chance it will have a guarantee

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