Consider the accompanying data file for predicting an interview call (Yes or No). Use the k-fold cross
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Consider the accompanying data file for predicting an interview call (Yes or No). Use the k-fold cross validation method, with k = 4, to compare the accuracy rates of two logistic regression models. Predictor variables for Model 1 include GPA, Male (1 for male, 0 otherwise), and Looks (1 for good looks, 0 otherwise). Model 2 also includes the interaction between Male and Looks.
Call | GPA | Male | Looks |
No | 2.78 | 1 | 1 |
No | 3.22 | 1 | 1 |
Yes | 3.93 | 1 | 1 |
Yes | 3.83 | 1 | 0 |
Yes | 4.10 | 1 | 0 |
No | 3.01 | 0 | 0 |
No | 3.82 | 1 | 0 |
No | 2.92 | 0 | 0 |
No | 2.82 | 1 | 1 |
No | 3.85 | 1 | 0 |
Yes | 2.38 | 0 | 0 |
No | 3.21 | 0 | 0 |
No | 3.20 | 0 | 0 |
Yes | 3.62 | 0 | 0 |
No | 3.89 | 1 | 0 |
Yes | 4.29 | 1 | 1 |
No | 2.90 | 1 | 0 |
No | 2.88 | 1 | 0 |
No | 4.17 | 0 | 1 |
No | 2.96 | 0 | 0 |
No | 2.96 | 1 | 0 |
No | 3.05 | 0 | 0 |
No | 3.00 | 0 | 0 |
No | 2.52 | 1 | 0 |
No | 3.71 | 1 | 0 |
Yes | 3.84 | 0 | 0 |
Yes | 4.00 | 1 | 0 |
No | 3.61 | 0 | 1 |
No | 3.74 | 1 | 0 |
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Related Book For
Business Analytics
ISBN: 9781265897109
2nd Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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