Datasets › Vehicle Claims
Vehicle Claims
The code to create the dataset is available here. The dataset used in the paper is available on github
Maker- Categorical - The brand of the vehicle.GenModel- Categorical - The model of the vehicle.Color- Categorical - Colour of the vehicle.Reg_Year- Categorical - Year of Registration.Body_Type- Categorical - Eg. SUV, Convertible.Runned_Miles- Numerical - Distance covered by the vehicle.Engin_Size- Categorical - Size of engine.GearBox- Categorical - Automatic, Manual.FuelType- Categorical - Petrol, Diesel.Price- Numerical - Price of vehicle.Seat_num- Numerical - Number of seats.Door_num- Numerical - Number of Doors.issue- Categorical - Type of damage.issue_id- Categorical - Specific damage.repair_complexity- Categorical - Difficulty to repair the vehicle.repair_hours- Numerical - Time required to finish the job.repair_cost- Numerical - Cost of repair.
Other attributes are not used for evaluation in this work.
breakdown_date and repair_date were added with the idea of inserting anomalies based on the number of days required to repair the vehicle.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Unsupervised Anomaly Detection | Vehicle Claims | SOM AUC 65.43 | Unsupervised Anomaly Detection for Auditing Data and... | ajaychawda58/uadad | 9 | Compare |
| Anomaly Detection | Vehicle Claims | Random Forest AUC 98.65 | Unsupervised Anomaly Detection for Auditing Data and... | ajaychawda58/uadad | 2 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings | 1 | 11 | 25 Oct 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Vehicle Claims
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections