Intelligent defaulter Prediction using Data Science Process
Intelligent defaulter Prediction using Data Science Process
About this item
Full title
Author / Creator
Publisher
Bristol: IOP Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Bristol: IOP Publishing
Subjects
More information
Scope and Contents
Contents
The machine learning classifiers employed are not good enough to clearly classify the loan defaulters. In order to alleviate this problem, the data science process is adopted. During the machine learning phase, the random forest classifier with tuned hyperparameters is trained on the loan lending dataset for obtaining the bank loan defaulter model....
Alternative Titles
Full title
Intelligent defaulter Prediction using Data Science Process
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2535626372
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2535626372
Other Identifiers
ISSN
1742-6588
E-ISSN
1742-6596
DOI
10.1088/1742-6596/1916/1/012001