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? A) 0.56 0.44 for male; 0.301 0.44 for male; 0.40

Question

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? A) 0.56 > 0.44 for male; 0.301 < 0.699 for female, providing male with the approved classification. B) 0.56 > 0.44 for male; 0.40 < 0.60 for female, providing male with the approved classification. C) 0.301 < 0.699 for male; 0.56 > 0.44 for female, providing female with the approved classification. D) 0.301 < 0.699 for male; 0.50 >= 0.50 for female, providing female with the approved classification.

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The Answer of 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? A) 0.56 > 0.44 for male; 0.301 < 0.699 for female, providing male with the approved classification. B) 0.56 > 0.44 for male; 0.40 < 0.60 for female, providing male with the approved classification. C) 0.301 < 0.699 for male; 0.56 > 0.44 for female, providing female with the approved classification. D) 0.301 < 0.699 for male; 0.50 >= 0.50 for female, providing female with the approved classification.

The Following Table Is the Count of Observations in Each