A study on credit scoring modeling with different feature selection and machine learning approaches
Bibliographic Data
| ID | 11238852 |
|---|---|
| Authors | Shrawan Kumar Trivedi (0000-0001-7504-556X, Indian Institute of Technology Dhanbad, corresponding author) |
| Year | 2020 |
| Volume | 63 |
| Pages | 101413 |
| Publication date | 2020-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2020.101413 |
| OpenAlex | W3091695621 |
| Language | EN |
| Citations received | 2 |
| References cited | 30 |
Classifier (UML · Data mining · Decision tree · Feature (linguistics · Feature selection · Information gain ratio · Machine learning · Naive Bayes classifier · Random forest · Support vector machine · Artificial Intelligence in Healthcare · Computer Science · Financial Distress and Bankruptcy Prediction · Imbalanced Data Classification Techniques · Artificial Intelligence
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2023 (2) |
| Highly cited | No |