Bayesian Classifier Example on Football Game

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What is the main purpose of a Naive Bayes Classifier?

To identify a model that best fits the relationship between variables

To predict the class label of unknown records (correct)

To draw the decision boundary in the feature space

To calculate the Bayes Error Rate accurately

In a Naive Bayes Classifier, how is the relationship between variables X and class variable Y defined?

$P(Y|X)$: The conditional probability/posterior probability for Y (correct)

$P(X|Y)$: The likelihood of Y given X

$P(X)$: The prior probability of X

$P(Y)$: The posterior probability of Y

What is the purpose of Laplacian correction in a Naive Bayes Classifier?

To increase the prior probabilities for all classes

To reduce the Bayes Error Rate significantly

To adjust probabilities to avoid zero-probability issues (correct)

To draw the decision boundary more accurately

Which theorem is used for combining prior knowledge of classes with new evidence in a Naive Bayes Classifier?

Bayes' Theorem Signup and view all the answers

What does the Bayes Error Rate represent in classification models?

The highest possible error rate achievable by any classifier Signup and view all the answers

How does a Bayesian Classifier example differ from a non-Bayesian classifier?

It assumes that data features are independent given the class label Signup and view all the answers

What is the objective of a Bayesian classifier?

Predict class membership probabilities Signup and view all the answers

Why is the Naive Bayes Classifier considered 'naive'?

It assumes class conditional independence of variables Signup and view all the answers

What does a Bayesian Classifier predict?

Class membership probabilities Signup and view all the answers

In a Naive Bayes Classifier, how is the most likely class determined?

The class with the highest probability is chosen Signup and view all the answers

Which assumption does the Naive Bayes Classifier make regarding variable effects?

Assumes independence of variable effects on class Signup and view all the answers

In the Bayesian Classifier example provided, if Team B hosts the next match, which team is most likely to win?

Team B Signup and view all the answers

What property of the naive Bayesian classifier makes computation of P(X|Ci) less expensive?

Reduction in computation due to the class-conditional assumption Signup and view all the answers

Which technique in naive Bayesian classifiers can help handle the issue of class-conditional probability becoming zero?

Laplacian correction Signup and view all the answers

What is Laplacian correction in the context of probability estimation?

Adding one to the count in the computation of conditional probability Signup and view all the answers

Why does naive Bayesian classifier provide a theoretical justification for other non-Bayesian classifiers?

From adopting the class-conditional assumption Signup and view all the answers

How do correlated variables affect the performance of naive Bayes classifiers?

Degrade classifier performance Signup and view all the answers

In a Bayesian classifier example, when 'Marital status=Married' is never associated with 'Defaulted borrower class=Yes', what issue does this represent?

'Martial status=Married' has zero class-conditional probability Signup and view all the answers

Bayesian Classifier Example on Football Game

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