An efficient prediction approach for default customers of personal loans using machine learning / (Record no. 81053)
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000 -LEADER | |
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fixed length control field | 02660cam a2200337 a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | EG-GiCUC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250223032741.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210527s2021 ua d f m 000 0 eng d |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | EG-GiCUC |
Language of cataloging | eng |
Transcribing agency | EG-GiCUC |
041 0# - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
049 ## - LOCAL HOLDINGS (OCLC) | |
Holding library | Deposite |
097 ## - Thesis Degree | |
Thesis Level | M.Sc |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
Classification number | Cai01.18.07.M.Sc.2021.Mo.E |
100 0# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Mohammed Hussein Mahmoud Mostafa |
245 13 - TITLE STATEMENT | |
Title | An efficient prediction approach for default customers of personal loans using machine learning / |
Statement of responsibility, etc. | Mohammed Hussein Mahmoud Mostafa ; Supervised Ammar Mohammed , Nesrine Ali Abdelazim |
246 15 - VARYING FORM OF TITLE | |
Title proper/short title | اسلوب كفء للتنبؤ بالعملاء المتعثرين للقروض الشخصية باستخدام تقنية تعلم الالة |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Cairo : |
Name of publisher, distributor, etc. | Mohammed Hussein Mahmoud Mostafa , |
Date of publication, distribution, etc. | 2021 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 119 Leaves : |
Other physical details | charts ; |
Dimensions | 30cm |
502 ## - DISSERTATION NOTE | |
Dissertation note | Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies For Statistical Research - Department of Information Systems and Technology |
520 ## - SUMMARY, ETC. | |
Summary, etc. | In Egyptian banking sector credit approval decision for personal loans is made using a pure judgment by credit officers due to the fact that machine learning is not widely used in practice. In this thesis, we have taken upon the challenge of delivering prediction approach for default customers of personal loans using machine learning. Our main objective is to predict default customers and analyze the trustworthiness of customers for getting a loan through available personal data and historical credit data. We used ABE dataset for training and testing, also we used 10 features from the application form and i-score report class that could be a helpful tool to credit staffs to take the right decision to decrease credit risk in order to avoid random techniques for customer selection. The data obtained were analyzed with different machine learning classification algorithms based on certain features in order to achieve higher accuracy. We compared between several methods before and after feature selection. We have observed that the most important features are (activity {u2013} income {u2013} loan amount) that can lead to high accuracy and decision tree has the best performance than any other machine learning algorithms with significant prediction accuracy of almost 94.85% |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
Additional physical form available note | Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Default customers |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Machine learning |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Personal loans |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Ammar Mohammed , |
Relator term | |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Nesrine Ali Abdelazim , |
Relator term | |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a> |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
Cataloger | Amira |
Reviser | Cataloger |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
Cataloger | Nazla |
Reviser | Revisor |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Thesis |
Source of classification or shelving scheme | Not for loan | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Koha item type | Copy number |
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Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 11.02.2024 | Cai01.18.07.M.Sc.2021.Mo.E | 01010110083518000 | 22.09.2023 | Thesis | ||
Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | مخـــزن الرســائل الجـــامعية - البدروم | 11.02.2024 | Cai01.18.07.M.Sc.2021.Mo.E | 01020110083518000 | 22.09.2023 | CD - Rom | 83518.CD |