Question: Consider the following classification tree for the customer churn problem. HOUSE 600469 OVERAGE INCOME 97 24 144 LEFTOVER prob = 0.61 (CHURN) LEFTOVER prob =

Consider the following classification tree for

Consider the following classification tree for the customer churn problem. HOUSE 600469 OVERAGE INCOME 97 24 144 LEFTOVER prob = 0.61 (CHURN) LEFTOVER prob = 0.81 (CHURN) 26 COLLEGE prob = 0.29 (STAY) OVERAGE prob = 0.59 (CHURN) No Yes 18 prob = 0.51 (CHURN) INCOME prob = 0.31 (STAY) AVERAGE_CALL_DURATION 59807 6 prob = 0.62 (CHURN) prob =0.49 (STAY) prob =0.55 (CHURN) prob = 0.44 (STAY) We need a churn/stay prediction for a new customer with the following attribute values: AVERAGE CALL DURATION: COLLEGE NO HOUSE 800000 INCOME 125000 LEFTOVER 0 OVERAGE 151 SATISFACTION YES What is the prediction

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