The world’s Largest Sharp Brain Virtual Experts Marketplace Just a click Away
Levels Tought:
Elementary,Middle School,High School,College,University,PHD
| Teaching Since: | Jul 2017 |
| Last Sign in: | 304 Weeks Ago, 5 Days Ago |
| Questions Answered: | 15833 |
| Tutorials Posted: | 15827 |
MBA,PHD, Juris Doctor
Strayer,Devery,Harvard University
Mar-1995 - Mar-2002
Manager Planning
WalMart
Mar-2001 - Feb-2009
Good Day .
I want help in this question .its related to data mining course .
This question about classification concept .
The following decision tree has been created for loan approval.
Â

Â
a.      Convert this tree to if then rules (0.5)
b.     Using the following testing data:
Â
i.                   Predict the class of each record (0.25)
Â
|
 |
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 |
 |
Â
ii.                 Calculate the accuracy of this model. (0.25)
Â
iii.               Interpret the obtained result (0.25)
Â
iv.               How we can improve the performance of the obtained model? (0.25)
Â
                                                                                                        Â
----------- Â ----------- H-----------ell-----------o S-----------ir/-----------Mad-----------am ----------- Th-----------ank----------- yo-----------u f-----------or -----------you-----------r i-----------nte-----------res-----------t a-----------nd -----------buy-----------ing----------- my----------- po-----------ste-----------d s-----------olu-----------tio-----------n. -----------Ple-----------ase----------- pi-----------ng -----------me -----------on -----------cha-----------t I----------- am----------- on-----------lin-----------e o-----------r i-----------nbo-----------x m-----------e a----------- me-----------ssa-----------ge -----------I w-----------ill----------- be----------- qu-----------ick-----------ly