Figure 1: Training Dataset for Car Ownership Instance…
Figure 1: Training Dataset for Car Ownership Instance Employed Insured Marital Status Car Ownership 1 Yes No Single Yes 2 Yes Yes Single No 3 No No Married Yes 4 No Yes Single Yes 5 Yes Yes Married No 6 No No Single No Review the table labeled Figure 1: Training Dataset for Car Ownership. Assume we want to use a decision tree to predict if a person owns a car or not. Using entropy as the measure of node impurity, what is the information gain if the split is done on the attribute of being employed?
Read DetailsSelect all possible columns that can be set as class label f…
Select all possible columns that can be set as class label for a predictive task. Tid Refund marital Status Taxable Income Cheat 1 Yes Single 125k No 2 No Married 100k No 3 No Single 70k No 4 Yes Married 120k No 5 No Divorced 95k Yes 6 No Married 60k No 7 Yes Divorced 220k No 8 No Single 95k Yes 9 No Married 75k No 10 No Single 90k Yes
Read DetailsYou are asked to train a model for detecting fraudulent bank…
You are asked to train a model for detecting fraudulent bank transactions. The bank studies show that the bank sustains more damage when a fraudulent transaction is approved compared to when a normal transaction is blocked. For the bank to sustain less damage, which cost matrix should you use to tune your model? (F stands for Fraudulent, and N stands for Normal.)
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