Assignment #7 - Decision Tree [ANSWER SHEET]

Answer Sheet for Assignment: Decision Trees in Python Name Jesse Keaton Fill in the answer sheet below. Question Answer Part 1. Decision Tree in Python (Minimum Split = 55) 1 How often will this tree make a correct prediction (include decimals)? Provide your answer for both the training set and the validation set. Training set: 78.96174863387978 % Validation set: 0.7264957264957265 % 2 How likely is a customer to pay back their loan if they are married, have one child, and make less than $30,000 in income? (NOTE: When asked “how likely…” cite the percentage!) 83% 3 How likely is a customer to pay back their loan if they are not married, have one child, and a mortgage regardless of age? 51.5% 4 How likely is a customer to pay back their loan if they are not married, have 2 children, and make $50,000 in income? 32.5% 5 Describe the profile of the least likely customer to successfully repay their loan. Someone that is married, has no children but has a savings account, and is older than 26.5 6 Describe the profile of the most likely customer to successfully repay their loan. Someone that is not married, has less than 1.5 children, and does not have a mortgage (Minimum Split = 45) 7 How often will this new tree make a correct prediction (include decimals)? Provide your answer for both the training set and the validation set. Training: 81.14754098360656% Validation:73.50427350427351% 8 Is this model better or worse than the According to the validation set values of each Page 1