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CPMAI · Question #46
You want to create a model to figure out if a customer would be likely to repurchase a certain item. The project owner doesn't want you to create anything too complicated, and you have a limited…
The correct answer is B. Naive Bayes. You've hit your limit · resets 12:50am (America/New_York)
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Question
You want to create a model to figure out if a customer would be likely to repurchase a certain item. The project owner doesn't want you to create anything too complicated, and you have a limited data set to work with. Which algorithm is the best choice given these constraints?
Options
- AEnsemble models
- BNaive Bayes
- CNeural Networks
- DGenerative AI
How the community answered
(34 responses)- A15% (5)
- B76% (26)
- C6% (2)
- D3% (1)
Explanation
You've hit your limit · resets 12:50am (America/New_York)
Topics
#algorithm selection#Naive Bayes#classification#constrained resources
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