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A team is building a spam detection system. The team wants a probability-based identification method without complex, in-depth training from the historical data set. Which of the following methods would best serve this purpose?
Correct Answer: C
Naive Bayes directly computes class probabilities using simple frequency counts under the independence assumption, requiring minimal training complexity and no iterative optimization-ideal for fast, probability‐based spam detection.
