= Class P: buys_computer = "yes" Class N: buys_computer = "no" buys computer no по yes ves yes no 8ge Income <=30 high <=30 high 31...40 high >40 medium >40 low >40 low 31... 40 low <=30 medium <=30 low >40 medium <=30 medium 31...40 medium 31...40 high 40 medium student credit rating no fair no excellent no fair 10 feir yes fair yes excellent yes excellent по fair ves fair yes fair yes excellent по excellent yes fair no excellent yes no yes yes yes yes yes no pi ni Info(Dj) Age ( partitions) <=30 2 3 0.971 31-40 4 0 0 >40 3 2 0.971
QUESTION 2 Analyze Q1's Dataset D using Decision Tree: What is the information needed (after using Attribute A, Age, to split D into 3 partitions) to classify D? Info (D) - Dilx Info (D) - ID O 0.694 bits O 0.820 bits O 0.386 bits O 0.925 bits
= Class P: buys_computer = "yes" Class N: buys_computer = "no" buys computer no по yes ves yes no 8ge Income <=30 high <
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= Class P: buys_computer = "yes" Class N: buys_computer = "no" buys computer no по yes ves yes no 8ge Income <=30 high <
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