Select the correct statement regarding the naive Bayes classification

The correct answer is A. it only requires a small amount of training data to estimate the parameters B. Independent variables can be assumed C. only the variances of the variables for each class need to be determined. An advantage of naive Bayes is that it only requires a small amount of training data to estimate the parameters (means and variances of the variables) necessary for classification. Because independent variables are assumed, only the variances of the variables for each class…

Classification Algorithms

Question

Options

Ait only requires a small amount of training data to estimate the parameters
BIndependent variables can be assumed
Conly the variances of the variables for each class need to be determined
Dfor each class entire covariance matrix need to be determined

How the community answered

(46 responses)

A
85% (39)
D
15% (7)

Explanation

An advantage of naive Bayes is that it only requires a small amount of training data to estimate the parameters (means and variances of the variables) necessary for classification. Because independent variables are assumed, only the variances of the variables for each class need to be determined and not the entire covariance matrix.

Topics

#Naive Bayes#parameter estimation#conditional independence#training data

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