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".

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".

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

See similar textbooks

Similar questions

Do you have any ideas on how to best collect the data as it is being generated?
What is Computer Analysis?
I would greatly appreciate it if you could explain TWO distinct methods for avoiding data issues.
Explain the value of data storytelling along with the power of visualizations.
What is the purpose of exploratory data analysis? Computer science
Data mining may provide corporate insight and associated applications.
What Is Linear Regression?
contrast the following terms: Data mining; text mining ROLAP; MOLAP R; Python
What other data science tool are available besides the ones mentioned in class?
What stage of the data science process is the most important?
Big data's versatility is shown by the fact that it may be organized or unstructured and comes in a variety of forms.
If you could perhaps clarify TWO distinct ways that possible data concerns might be prevented, I would really appreciate it.