Naïve Bayes Classifier Flashcards

1
Q

Bayes Classifier

A

A probabilistic framework for solving classification problems

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2
Q

2 Way to Estimate Probabilities from Continuous Data

A

Discretization: Partition the range into bins
Probability density estimation

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3
Q

3 Advantage of Naïve Bayes

A

Require a small amount of training data.
Extremely fast compared to more sophisticated methods.
Worked quite well in many real-world situations.

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4
Q

3 Type of Naïve Bayes Variants

A

Gaussian Naive Bayes
Multinomial Naive Bayes
Complement Naive Bayes

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