A dataset containing about 10,000 simulated claim records from 2012 to 2016 for illustration. The variables are as follows:
A data frame with 10030 rows and 15 variables
ClaimID. Claim ID
LoB. Line of Business (Auto, Liab, Property)
Type. Claim Type (N: Normal, H: High)
status. Current Claim Status (Closed, Open)
occurrenceDate. Claim Occurrence Date
reportDate. Claim Report Date
incurredLoss. Incurred Loss. For closed claim, it is the ultimate loss. For open claim, it is the estimated or booked loss.
osRatio. Outstanding Ratio
settlementDate. Claim Settlement Date.
Paid. Paid Loss by the valuation date. It equals incurredLoss * (1-osRatio)
totalLoss. Total loss before deductible and limit. If not available, it will be set as incurredLoss and not used for fitting.
Deductible. Deductible applied to the claim.
Limit. Limit applied to the claim.
LAE. Loss adjustment expense at the claim level. It can be omitted if idemnity and LAE are modeled together as incurred loss.
claimLiability. Indicating whether the claim is invalid and leads to zero payment. It excludes valid claims that are smaller than deductibles.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.