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The following decision tree has been created for loan approval. 1. Convert this tree to if then rules (0.5) 2. Using the following testing data:
The following decision tree has been created for loan approval.
1. Convert this tree to if then rules (0.5)
2. Using the following testing data:
3. Predict the class of each record (0.25)
| Income range of applicant | Criminal record | Years in present job | Makes credit card payments |
Class |
Prediction |
1 | $25K | no | 6 | no |
loan |
|
2 | $40K | yes | 2 | yes |
loan |
|
3 | $80K | no | 7 | yes | No loan |
|
4 | $55K | no | 8 | no | No loan |
|
4. Calculate the accuracy of this model. (0.25)
5. Interpret the obtained result (0.25)
6. How we can improve the performance of the obtained model? (0.25)
$30K. Criminal record? ye3 Income range of applicant? $30-70K Years in present job? 1 1-5 Makes credit card payments? Criminal record
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