You’re working with an inexperienced team and this is all their first AI project. You’re trying to work on a supervised learning binary classification problem to determine if emails are spam or not.
What is the best approach for this project?
A.
Pick a simple algorithm such as naive bayes
B.
Pick a neural network algorithm since you know this works well for supervised learning approaches
C.
Pick an ensemble method since you’re not sure which algorithm will perform best
Naive Bayes classifiers are a family of “simple probabilistic classifiers based on Bayes’ theorem with the ‘naive’ assumption of feature independence,” making them fast to train and easy to interpret—ideal for teams new to AI tackling binary tasks like spam detection .
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