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I really need a dataset about automobile insurance claims to train and test learning algorithms.
I found references to Masachussets PIP claims data and to Spanish claims data in many scientific articles, but I couldn't find them...
The best would be to find claims which concern just insurance third party liability extensions: I mean theft, fire, acts of vandalism, atmospheric agents. But also claims concerning third party liability insurance would be great.
A couple of new automobile insurance claim data sets have become available since this question was asked. Thought I'd list them here:
Published: Auto Insurance Claims - Automobile Insurance claims including location, policy type and claim amount http://dyzz9obi78pm5.cloudfront.net/app/image/id/560ec66d32131c9409f2ba54/n/Auto_Insurance_Claims_Sample.csv
Held a "claims severity" competition on Kaggle. https://www.kaggle.com/c/allstate-claims-severity
The book “Data: A Collection of Problems from Many Fields for the Student and Research Worker” by Andrews and Herzberg has such a data set as:
Table 68.1 Third Party Motor Insurance for Sweden, 1977 (112642 bytes)
When there is an answer to this question: The data from "Data: A Collection of Problems from Many Fields for the Student and Research Worker" by Andrews and Herzberg you can find the data from there.
And here is a direct link for the data: http://www.statsci.org/data/general/motorins.txt
You can find several datasets for R here, for the book Computational Actuarial Science with R.
Package ‘CASdatasets’
A completed project by the Insurance Risk and Finance Research Centre (www.IRFRC.com) hasassembled a unique dataset from Large Commercial Risk losses in Asia-Pacific (APAC) coveringthe period 2000-2013. The data was generously contributed by one global reinsurance companyand two large Lloyd’s syndicates in London. This dataset is the result of the project co-lead by DrMilidonis (IRFRC and University of Cyprus) and Enrico Biffis (Imperial College Business School),which can be referred to as the IRFRC LCR Dataset.
