APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What is a Naïve Bayes Classifier Theorem Equation?
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P ( A ∣ B )= P ( B ) P ( B ∣ A ) P ( A )
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P (B∣ B )= P ( B ) P ( B ∣ A ) P ( A )
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P (B∣ B )= P (A) P ( B ∣ A ) P ( A )
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P A B P P )P B P(A|B)=
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Explanation:
Detailed explanation-1: -Naïve Bayes Classifier is one of the simple and most effective Classification algorithms which helps in building the fast machine learning models that can make quick predictions. It is a probabilistic classifier, which means it predicts on the basis of the probability of an object.
Detailed explanation-2: -Prelude: Bayes’ Rule Here P(A|B) is a conditional probability: the probability that A occurs, given that B has occurred. This says that the probability of A and B occurring together is (the probability that A occurs given that B has occurred) times (the probability that B has occurred).
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