XLMiner : Na?ve BayesOutput Navigator InputsTrain. Score - SummaryValid. Score - SummaryTest Score - SummaryElapsed TimeTrain. Score - Detailed Rep.Valid Score - Detailed Rep.Test Score - Detailed Rep.Prior Class PrTraining Lift ChartsValidation Lift ChartsTest Lift ChartAccording to relative occurrences in training dataClassProb. Alive0.314912945<-Success ClassDead0.685087055 Conditional probabilities Classes--> AliveDeadInput
VariablesValueProbValueProbAgeAdult 0.9375 Adult 0.964640884 ?Child 0.0625 Child 0.035359116 SexFemale 0.46875 Female 0.082872928 ?Male 0.53125 Male 0.917127072 ClassCrew 0.295673077 Crew 0.450828729 ?First 0.295673077 First 0.071823204 ?Second 0.146634615 Second 0.10718232 ?Third 0.262019231 Third 0.370165746 Examine the Na?ve Bayes output that describes the Titanic survival model.What is the probability of survival if you are a crew member, male, and adult?
A. 0.145090831
B. 0.001352846
C. 0.442673445
D. 0.613324957
Answer: A
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