The table below contains training data from an employee database. The data have been generalized. For example, "31.35" for age represents the age between 31 and 35 years. For a particular row; count is the number of rows of data that have values for department, status, age, and salary contained in that row. Total The training data for each row should be multiplied by the Count, so the total training data is 165 instead of 11. department sales age 31...35 26... 30 junior 31...35 21... 25 status senior salary 46K... 50K 26K... 30K count 30 sales sales junior 40 31K...35K 40 20 systems systems systems systems marketing marketing secretary secretary 46K. .. 50K 66K. .. 70K 46K. .. 50K 66K. .. 70K 46K... 50K 41K... 45K 36K... 40K 26K. .. 30K junior senior 31...35 junior 26... 30 3 senior 41...45 36... 40 31...35 46. .. 50 26... 30 3 senior 10 junior senior 4 4 junior Class label attribute are column status. 46K = 46.000 1. Create a decision tree, using the attribute selection measure "GAIN RATIO".

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