
Naïve Bayesian Classification Quiz
Authored by M. GOVINDARAJ CDOE
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main assumption of the Naïve Bayesian classifier?
All features are correlated
All features are independent given the class label
All features are irrelevant
All features are dependent on each other
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a type of Naïve Bayesian classifier?
Linear Naïve Bayes
Bernoulli Naïve Bayes
Multinomial Naïve Bayes
Gaussian Naïve Bayes
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the training phase in Naïve Bayesian classification?
To evaluate the model performance
To calculate the posterior probability
To calculate the prior and likelihood probabilities
To assign classes to new data points
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which application is Naïve Bayesian classification commonly used?
Spam filtering
Network security
Image processing
Data encryption
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the term 'smoothing' refer to in Naïve Bayesian classification?
Improving model interpretability
Increasing the training dataset size
Adjusting probabilities to handle zero counts
Reducing the number of features
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a disadvantage of Naïve Bayesian classifiers?
Complex to implement
Slow training and prediction
Assumes feature independence
Requires a large amount of training data
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in the prediction phase of Naïve Bayesian classification?
Calculate the prior probability
Calculate the likelihood probability
Calculate the posterior probability for each class
Assign the data point to the class
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