Question

In a practical scenario, for which of the following cases Naive
Bayes Algorithm performs well?
A Discrete variables
B. Continuous variables

Answer 1

Answer: A

Explanation:

Answer 2

'Naive Bayes Algorithm' performs well Discrete variables.

Option (A)

Explanation:

• 'Naive Bayes' uses a similar approach to foresee the probability of several classes based on different attributes.
• The 'Naive Bayes' algorithm enables speedy, very scalable type building and scoring. It scales linearly to the number of 'predictors' and rows. Naive Bayes is used for both 'binary' and 'multi-class' classification problems.
• 'Naive Bayes' is commonly used when you have discrete features or your continue features follow a known distribution (even though non-parametric approaches can also be used).  

To know more

Write the difference between EDVAC and EDSAC

https://brainly.in/question/4971562

Name the features of EDVAC

https://brainly.in/question/12899287