Enhancing classification performance on imbalanced loan default data a hybrid sampling approach using k-prototype and smotenc
dc.contributor.author | Pandey, Vandana | |
dc.date.accessioned | 2025-05-23T10:08:20Z | |
dc.date.available | 2025-05-23T10:08:20Z | |
dc.date.issued | 2025-05 | |
dc.identifier.uri | http://hdl.handle.net/123456789/4298 | |
dc.language.iso | en | en_US |
dc.publisher | Indian Institute of Technology (Indian School of Mines) Dhanbad | en_US |
dc.subject | ML algorithm | en_US |
dc.subject | K-prototype clustering | en_US |
dc.subject | Sampling techniques | en_US |
dc.subject | DIST | en_US |
dc.subject | DS1665 | en_US |
dc.subject | AMT | en_US |
dc.title | Enhancing classification performance on imbalanced loan default data a hybrid sampling approach using k-prototype and smotenc | en_US |
dc.type | Thesis | en_US |
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