x

Choose Country Code

x

Direction

x

Ask a Question

  • Ask a Question
  • Scan a Question
  • Post MCQ
  • Note: File extension must be of jpg, jpeg, png, bmp format and file size must not exceed 5 MB
x

Ask a Question

x

x
x
x
Hire a Tutor

Answers and Solutions

What's Your Question?
Answer
Naive bayes is a classification algorithm. It's based on conditional probability. It's called naive because it assumes that each and every variable is independent of one another.
Answer

The Naive Bayes algorithm is based on conditional probabilities. It uses Bayes' Theorem, a formula that calculates a probability by counting the frequency of values and combinations of values in the historical data.

Bayes' Theorem finds the probability of an event occurring given the probability of another event that has already occurred. If Brepresents the dependent event and A represents the prior event, Bayes' theorem can be stated as follows.

Bayes' Theorem:

Prob(B given A) = Prob(A and B)/Prob(A)

To calculate the probability of B given A, the algorithm counts the number of cases where A and B occur together and divides it by the number of cases where A occurs alone.

Answer

Naive Bayes is a simple technique for constructing classifiers: models that assign class labels to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. It is not a single algorithm for training such classifiers, but a family of algorithms based on a common principle: all naive Bayes classifiers assume that the value of a particular feature is independent of the value of any other feature, given the class variable. For example, a fruit may be considered to be an apple if it is red, round, and about 10 cm in diameter. A naive Bayes classifier considers each of these features to contribute independently to the probability that this fruit is an apple, regardless of any possible correlations between the color, roundness and diameter features.

Post Answer and Earn Credit Points

Get 5 credit points for each correct answer. The best one gets 25 in all.

Post Answer