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Occupation Service Management Sales Staff Gender Female Male Male Male Female Male Female Female Male Female Male Age 45 25 33 25 35 26 45 40 30 50 25 Less than $35,000 • $35,000 to less than $45,000 $45,000 to less than $55,000 . Above $55,000 Salary $48,000 $25,000 $35,000 $45,000 $65,000 $45,000 $70,000 $50,000 $40,000 $40,000 $25,000 Consider the data in Table E6.4. The target variable is salary. Start by discretizing salary as follows: Level 1 Level 2 Level 3 Level 4 - Construct a classification and regression tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software. - Construct a C4.5 decision tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software. Occupation Service Management Sales Staff Gender Female Male Male Male Female Male Female Female Male Female Male Age 45 25 33 25 35 26 45 40 30 50 25 Less than $35,000 • $35,000 to less than $45,000 $45,000 to less than $55,000 . Above $55,000 Salary $48,000 $25,000 $35,000 $45,000 $65,000 $45,000 $70,000 $50,000 $40,000 $40,000 $25,000 Consider the data in Table E6.4. The target variable is salary. Start by discretizing salary as follows: Level 1 Level 2 Level 3 Level 4 - Construct a classification and regression tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software. - Construct a C4.5 decision tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software.
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Related Book For
Introduction to Probability and Statistics
ISBN: 978-1133103752
14th edition
Authors: William Mendenhall, Robert Beaver, Barbara Beaver
Posted Date:
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