Running the Model You will run the Predictive Choice model in Enginus. Within the model prompt: 1. Select “Choice between 2 alternatives (0/1)" under Target Variable. 2. Choose "Sundance Sample Data" from the dropdown box for Calibration Data. 3. Choose "Misbehaving Choice (No/Yes)" from the dropdown box for target variable. 4. Do not select "Box-Cox transform the predictors". 5. Choose "20-fold (most accurate)" for Cross-Validation. 6. Select the "Apply predictive model to out-of-sample data" button and choose "Sundance Out-of-Sample Data" from the dropdown box. Questions (2.5 points apiece) 1. On average, how much money did the in-sample customers from the dataset spend on purchases at Sundance? How many purchases did they make over the last three years? A. $95.30; 3.199 B. $200.92; 7.841 C. $203.00; 12.314 D. $474.00; 3.027 E. $200.92; 12.314 F. $95.30; 12.314 G. $203.00; 7.841 broc H. $474.00; 3.199 clood 2. Is the in-sample data skewed towards males or females? What about the out-of-sample data? How do we know for each? 3. How many customers in the calibration data purchased Misbehaving? Didn't purchase? Purchased: No Purchase:

Microeconomic Theory
12th Edition
ISBN:9781337517942
Author:NICHOLSON
Publisher:NICHOLSON
Chapter5: Income And Substitution Effects
Section: Chapter Questions
Problem 5.15P
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Running the Model
You will run the Predictive Choice model in Enginus. Within the model prompt:
1. Select “Choice between 2 alternatives (0/1)" under Target Variable.
2. Choose "Sundance Sample Data" from the dropdown box for Calibration Data.
3. Choose "Misbehaving Choice (No/Yes)" from the dropdown box for target
variable.
4. Do not select "Box-Cox transform the predictors".
5. Choose "20-fold (most accurate)" for Cross-Validation.
6. Select the "Apply predictive model to out-of-sample data" button and choose
"Sundance Out-of-Sample Data" from the dropdown box.
Questions (2.5 points apiece)
1. On average, how much money did the in-sample customers from the dataset spend on
purchases at Sundance? How many purchases did they make over the last three years?
A. $95.30; 3.199
B. $200.92; 7.841
C. $203.00; 12.314
D. $474.00; 3.027
E. $200.92; 12.314
F. $95.30; 12.314
G. $203.00; 7.841
broc
H. $474.00; 3.199
clood
2. Is the in-sample data skewed towards males or females? What about the out-of-sample
data? How do we know for each?
3. How many customers in the calibration data purchased Misbehaving? Didn't purchase?
Purchased:
No Purchase:
Transcribed Image Text:Running the Model You will run the Predictive Choice model in Enginus. Within the model prompt: 1. Select “Choice between 2 alternatives (0/1)" under Target Variable. 2. Choose "Sundance Sample Data" from the dropdown box for Calibration Data. 3. Choose "Misbehaving Choice (No/Yes)" from the dropdown box for target variable. 4. Do not select "Box-Cox transform the predictors". 5. Choose "20-fold (most accurate)" for Cross-Validation. 6. Select the "Apply predictive model to out-of-sample data" button and choose "Sundance Out-of-Sample Data" from the dropdown box. Questions (2.5 points apiece) 1. On average, how much money did the in-sample customers from the dataset spend on purchases at Sundance? How many purchases did they make over the last three years? A. $95.30; 3.199 B. $200.92; 7.841 C. $203.00; 12.314 D. $474.00; 3.027 E. $200.92; 12.314 F. $95.30; 12.314 G. $203.00; 7.841 broc H. $474.00; 3.199 clood 2. Is the in-sample data skewed towards males or females? What about the out-of-sample data? How do we know for each? 3. How many customers in the calibration data purchased Misbehaving? Didn't purchase? Purchased: No Purchase:
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