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.

Let status be the class label attribute.

Given a data tuple having the values systems, 26. . . 30, and 4650K for the attributes department, age, and salary, respectively, what would a nave Bayesian classification of the status for the tuple be?

Please explain as I am having trouble understanding, Thank you

salary department status age sales sales sales systems systems systems systems marketing seor 36..40 46K...50K 10 marketing junior 31...35 41K. .45K 4 secretary senior 46..50 36K..40K4 secretary uior 26...30 26K...30K 6 count senior 31...35 46K...50K 30 junior 26...30 26K..30K 40 junior 31...35 31K...35K 40 junior 21...25 46K.50K 20 senior 31...35 66K... 70K 5 junior 26...30 46K...50K 3 senior 41...45 66K... 70K 3