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Q20. In which of the following scenario we can use naïve Bayes theorem for classification

1.      Classify whether a given person is a male or a female based on the measured features. The features include height, weight, and foot size.

2.      To classify whether an email is spam or not spam

3.      To identify whether a fruit is an orange or not based on features like diameter, color and shape

4.      All of the above

5.      None of the above

 

Ans: 4

Exp: naive Bayes classifiers have worked quite well in many real-world situations, famously document classification and spam filtering. They requires a small amount of training data to estimate the necessary parameters

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