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Intelligent defaulter Prediction using Data Science Process

Intelligent defaulter Prediction using Data Science Process

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2535626372

Intelligent defaulter Prediction using Data Science Process

About this item

Full title

Intelligent defaulter Prediction using Data Science Process

Publisher

Bristol: IOP Publishing

Journal title

Journal of physics. Conference series, 2021-05, Vol.1916 (1), p.12001

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

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

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

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