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Name OverallGrade Obedient ResearchScore ProjectScore Recommend Henry A Y 90 85 Yes John C N 85 51 Yes David F N 10 17 No Holmes

Name OverallGrade Obedient ResearchScore ProjectScore Recommend
Henry A Y 90 85 Yes
John C N 85 51 Yes
David F N 10 17 No
Holmes B Y 75 71 No
Marvin E N 20 30 No
Simon A Y 92 79 Yes
Robert B Y 60 59 No
Trent C Y 75 33 No

Task1: Use Python to create a table with the average, medium, min, max and standard deviation for each attributes in the dataset.

Task2: Use Python to plot a histogram for each attributes in the dataset.

Task3: Compute the correlation table for the quantitative attributes.

Task4: Build a decision tree to the above dataset using all the relevant predictors. Find the model by using the following method:

  • An entropy measure (pen and paper)
  • Pyhton code.
  • Task5: Use the created Mode in Task 4 to Predict the class of the following new examples:
    Name OverallGrade Obedient ResearchScore ProjectScore
    0 Nathan F N 30 20
    1 Thomas A Y 78 80

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