Question in image. Answer with explanation. There are 14 instances stored in the database described with several attributes: day, outlook,temperature, humidity, wind and 'playTennis'. Each instance describes the facts of the dayand the action of the observed person (played or not played tennis). Based on the givenrecord we can assess which factors affected the person's decision about playing tennis.Training ExamplesPlay TennisNoOutlookDayD1SunnyD2SunnyTemp. HumidityHighHighHighHighNormalWindHotWeakHotStrongNoD3OvercastHotWeakYesD4D5RainRainMildСoolWeakYesWeakYesD6RainCoolNormalStrongWeakNoD7OvercastCoolNormalYesD8HighNormalSunnyMildWeakNoD9SunnyD10 RainD11 SunnyD12 OvercastD13 OvercastD14CoolWeakYesNormalNormalMildStrongYesMildStrongStrongWeakYesMildHotMildHighNormalYesYesNoRainHighStrongCalculate the information gain values of all attributes, and select the decision attribute for theroot node, and create branches with its possible values.Is there any further splitting necessary? If so, keep splitting and build the final tree (do notworry about over-fitting). Provide all your calculations.

Actually, database is a used to stores the data\information.

There are 14 instances stored in the database described with several attributes: day, outlook, temperature, humidity, wind and 'playTennis'. Each instance describes the facts of the day and the action of the observed person (played or not played tennis). Based on the given record we can assess which factors affected the person's decision about playing tennis. Training Examples Outlook Day Sunny Temp. Humidity High High Wind Play Tennis No D1 Hot Weak D2 D3 Strong Weak Weak Weak Strong Weak Weak No Sunny Overcast Rain Hot Hot Yes D4 D5 High High Normal Normal Mild Yes Yes No Rain |Cool D6 Rain Сol D7 Overcast Cool Normal Yes D8 Sunny Sunny Mild No High Normal Normal Normal High Normal D9 Cool Yes Weak Strong Strong Strong Weak D10 Rain Mild Yes D11 Sunny D12 Overcast D13 Overcast Rain Mild Mild Yes Yes Yes Hot D14 Mild High Strong No

There are 14 instances stored in the database described with several attributes: day, outlook, temperature, humidity, wind and 'playTennis'. Each instance describes the facts of the day and the action of the observed person (played or not played tennis). Based on the given record we can assess which factors affected the person's decision about playing tennis. Training Examples Outlook Day Sunny Temp. Humidity High High Wind Play Tennis No D1 Hot Weak D2 D3 Strong Weak Weak Weak Strong Weak Weak No Sunny Overcast Rain Hot Hot Yes D4 D5 High High Normal Normal Mild Yes Yes No Rain |Cool D6 Rain Сol D7 Overcast Cool Normal Yes D8 Sunny Sunny Mild No High Normal Normal Normal High Normal D9 Cool Yes Weak Strong Strong Strong Weak D10 Rain Mild Yes D11 Sunny D12 Overcast D13 Overcast Rain Mild Mild Yes Yes Yes Hot D14 Mild High Strong No

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...

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