The following table is the count of observations in each class of the training data set...

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The following table is the count of observations in each class of the training data set on approvals and declines for a loan at a local bank. Using the naïve Bayes method. calculate the conditional probability of both the male and female being approved (declined) for the loan and indicate which one should be categorized with approved classification? Approved (y = 1) Declined (y = 0) Male (x1) 20 15 Female (x = 0) 40 75 The following table is the count of observations in each class of the training data set on approvals and declines for a loan at a local bank. Using the naïve Bayes method. calculate the conditional probability of both the male and female being approved (declined) for the loan and indicate which one should be categorized with approved classification? Approved (y = 1) Declined (y = 0) Male (x1) 20 15 Female (x = 0) 40 75

Answer rating: 100% (QA)

SOLUNUM PX1 Y 0 X1 Hence A 3 PX10 Y 1 Px 1 0... View the full answer