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
