In which of the following scenario we can use Naive Bayes theorem for classification

The correct answer is A. Classify whether a given person is a male or a female based on the measured features. The features B. To classify whether an email is spam or not spam C. To identify whether a fruit is an orange or not based on features like diameter, color and shape. 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

Classification Algorithms

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AClassify whether a given person is a male or a female based on the measured features. The features
BTo classify whether an email is spam or not spam
CTo identify whether a fruit is an orange or not based on features like diameter, color and shape

How the community answered

(34 responses)

A
100% (34)

Explanation

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

Topics

#Naive Bayes#classification use cases#spam detection#probabilistic classification

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