Machine Learning in Java - Second Edition

Dataset

We'll work with a dataset describing insurance transactions, which is publicly available in the Oracle database online documentation at http://docs.oracle.com/cd/B28359_01/datamine.111/b28129/anomalies.htm.

 

The dataset describes insurance claims on vehicle incidents for an undisclosed insurance company. It contains 15,430 claims; each claim is comprised of 33 attributes, describing the following components:

• Customer demographic details (Age, Sex, MartialStatus, and so on)
• Purchased policy (PolicyType, VehicleCategory, number of supplements, agent type, and so on)
• Claim circumstances (day/month/week claimed, policy report filed, witness present, past days between incident-policy report, incident claim, and so on)
• Other customer ...