Train an ID3 decision tree for a dataset shown in the following table. The table contains 2categorical attributes (refund and marital status) and 1 continuous attribute (taxable income).Once you got the model then use it to classify the input X1 (No, Single, 95K) and X2 (Yes,Divorced, 120K)IDMaritalRefundТахableCheatStatusIncome1SingleYes125KNo2MarriedNo100KNo3SingleNo70KNo4MarriedYes120KNoDivorcedNo95KYesMarriedNo60KNo7DivorcedYes220KNo8SingleNo85KYesMarriedNo75KNo10SingleNo90KYes00

The following is the python code for ID3 decision tree and predict values.

Answered: Train an ID3 decision tree for a…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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