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g. What is P(F2 = F| Result = -)? h. What is P(F3=F| Result = -)? i. Use Naive Bayes approach to classify the test instance (F1 = T, F2 = F, F3 = F). Justify your answer
2. (20 points] Given the following training data, FI F2 F3 Result T T F + F т T + T F T FTF F FT a. What is P(+)? b. Wha
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2. (20 points] Given the following training data, FI F2 F3 Result T T F + F т T + T F T FTF F FT a. What is P(+)? b. Wha
2. (20 points] Given the following training data, FI F2 F3 Result T T F + F т T + T F T FTF F FT a. What is P(+)? b. What is P(-)? c. What is P(F1 = T| Result = +)? d. What is P(F2 = F| Result = +)? e. What is P(F3=F| Result = +)? f. What is P(F1 = T| Result = -)?
g. What is P(F2 = F| Result = -)? h. What is P(F3=F| Result = -)? i. Use Naive Bayes approach to classify the test instance (F1 = T, F2 = F, F3 = F). Justify your answer
g. What is P(F2 = F| Result = -)? h. What is P(F3=F| Result = -)? i. Use Naive Bayes approach to classify the test instance (F1 = T, F2 = F, F3 = F). Justify your answer
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