Naïve Bayes Classifier Flashcards
1
Q
Bayes Classifier
A
A probabilistic framework for solving classification problems
2
Q
2 Way to Estimate Probabilities from Continuous Data
A
Discretization: Partition the range into bins
Probability density estimation
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.
4
Q
3 Type of Naïve Bayes Variants
A
Gaussian Naive Bayes
Multinomial Naive Bayes
Complement Naive Bayes