Predictive modeling for auto repossession success: a comparative evaluation
Abstract Predicting whether a vehicle repossession will succeed can save lenders time and money, yet data and analytical models for this task are limited. This study develops and evaluates machine learning models to estimate the likelihood that a repossession assignment will result in vehicle recove...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
SpringerOpen
2026-05-01
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| Sarja: | Journal of Big Data |
| Aiheet: | |
| Linkit: | https://doi.org/10.1186/s40537-026-01428-2 |
| Tagit: |
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