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PLEASE HELP ME ON THESE TWO QUESTIONS Please show the decision tree constructed based on the following training dataset ( with Play Tennis@ as class
PLEASE HELP ME ON THESE TWO QUESTIONS
Please show the decision tree constructed based on the following training dataset ( with Play Tennis@ as class label) :
ase show the decision tree constructed based on the Tollpwing Traing le Tennis" as class label) Training Data High Weak Yea MILI ain Nomal Weak Yes D12 Osvreast Mild D14 Rai ALL steps that required for constructing the docision need to be inclubed in your anower Question 6 In class, we used age, income, student status not a person is going to purchase a computer (as a label). Based on the following training data and credit status as attributes to predict whether or use income, student status and credit status and computer purchase status as attributes to prediet the age of the person (as a label). Note that the age has three possible ranges. Please find AL strong association classification rules based on minimum support- 25% and minimum confidence-75%. Also, show ALLnecessary steps. Al: age40 Bl: high income B2: medium income B3: low income C1: not student C2: student D1: fair credit A1 B1 C1 D2 N D2: excellent credit Y: buy computer N: don't buy computer Please show the decision tree constructed based on the following Tennis" as class label): Training Data Day Outlook Temperature Humidity Wind PlayTennis Di Sunny D2 Sunny D3 Overcast D4 Rain D5 Rain D6 Rain D7 Overcast Cool Normal Strong Yes D8 Sunny D9 Sunny Cool D10 Rain D11 Sunny Mild Normal Stroug Yes D12 Overcast Mild D13 Overcast Hot Hot Hot Hot Mild Cool Normal Weak Yes Cool Normal Strong No High Weak High StrongNo High WeakYes Higl Weak Yes High Weak No Normal Weak Yes Mild Mild Normal Weak Yes High Strong Yes Normal Weak Yes No D14 Rain Mild High Strong CSG220: Machine Leaning Decirion Trees: Slide 20 (ALL steps that required for constructing the decision need to b ( ALL STEPS that required for constructing the decision tree need to be included in your answer )
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