Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age, and salarry, respectively, what would naiive Bayesian classification of the status for the tuple be?
The answer is "P(X|senior) = 0; P(X|junior) = 0.018. Thus, a naiive Bayesian classification predicts “junior”." Or I am not sure about that answer.
PLEASE explain the SOLUTION IN DETAIL.
Thank you!
Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age,...
Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age, and salarry, respectively, what would naiive Bayesian classification of the status for the tuple be? The answer is "P(X|senior) = 0; P(X|junior) = 0.018. Thus, a naiive Bayesian classification predicts “junior”." Or I am not sure about that answer. PLEASE explain the SOLUTION IN DETAIL. Thank you! department salary status соиnt age 31... 35 sales 46K. ..50K 30 senior 26K. .. 30K 31K... 35K...
The following table consists of training data from an employee database. The data have been generalized. For example, “31 . . . 35” for age represents the age range of 31 to 35. For a given row entry, count represents the number of data tuples having the values for department, status, age, and salary given in that row. department status age salary count sales senior 31. . . 35 46K. . . 50K 30 sales junior 26. . . 30...