This dataset includes 90,000 realistic, synthetically generated worker compensation insurance policies, all of which have had an accident. For each record there is demographic and worker related information, as well as a text description of the accident. 

# File descriptions

- `train.csv.`: The training set containing 54,000 insurance policies that you can use to train your model
- `test.csv`: The test set. 
- `sample_submission.csv`: A sample submission file in the correct format

# Data fields

- **ClaimNumber**: Unique policy identifier
- **DateTimeOfAccident**: Date and time of accident
- **DateReported**: Date that accident was reported
- **Age**: Age of worker
- **Gender**: Gender of worker
- **MaritalStatus**: Martial status of worker. (M)arried, (S)ingle, (U)nknown.
- **DependentChildren**: The number of dependent children
- **DependentsOther**: The number of dependants excluding children
- **WeeklyWages**: Total weekly wage
- **PartTimeFullTime**: Binary (P) or (F)
- **HoursWorkedPerWeek**: Total hours worked per week
- **DaysWorkedPerWeek**: Number of days worked per week
- **ClaimDescription**: Free text description of the claim
- **InitialIncurredClaimCost**: Initial estimate by the insurer of the claim cost
- **UltimateIncurredClaimCost**: Total claims payments by the insurance company. This is the field you are asked to predict in the test set.