18 Questions
What is the main purpose of a Naive Bayes Classifier?
To predict the class label of unknown records
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
What is the purpose of Laplacian correction in a Naive Bayes Classifier?
To adjust probabilities to avoid zero-probability issues
Which theorem is used for combining prior knowledge of classes with new evidence in a Naive Bayes Classifier?
Bayes' Theorem
What does the Bayes Error Rate represent in classification models?
The highest possible error rate achievable by any classifier
How does a Bayesian Classifier example differ from a non-Bayesian classifier?
It assumes that data features are independent given the class label
What is the objective of a Bayesian classifier?
Predict class membership probabilities
Why is the Naive Bayes Classifier considered 'naive'?
It assumes class conditional independence of variables
What does a Bayesian Classifier predict?
Class membership probabilities
In a Naive Bayes Classifier, how is the most likely class determined?
The class with the highest probability is chosen
Which assumption does the Naive Bayes Classifier make regarding variable effects?
Assumes independence of variable effects on class
In the Bayesian Classifier example provided, if Team B hosts the next match, which team is most likely to win?
Team B
What property of the naive Bayesian classifier makes computation of P(X|Ci) less expensive?
Reduction in computation due to the class-conditional assumption
Which technique in naive Bayesian classifiers can help handle the issue of class-conditional probability becoming zero?
Laplacian correction
What is Laplacian correction in the context of probability estimation?
Adding one to the count in the computation of conditional probability
Why does naive Bayesian classifier provide a theoretical justification for other non-Bayesian classifiers?
From adopting the class-conditional assumption
How do correlated variables affect the performance of naive Bayes classifiers?
Degrade classifier performance
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
This quiz presents a scenario involving a football game between Team A and Team B, and asks about the probability of each team winning based on certain conditions. You will need to apply the principles of Bayesian Classifier to calculate the probabilities in this context.
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