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Insurance Product Purchase Prediction

June 1, 2021

The training data contain transaction history for customers that ended up purchasing a policy. For each customer_ID, you are given their quote history. In the training set you have the entire quote history, the last row of which contains the coverage options they purchased.

What is a customer?

Each customer has many shopping points, where a shopping point is defined by a customer with certain characteristics viewing a product and its associated cost at a particular time.
• Some customer characteristics may change over time (e.g. as the customer changes or provides new information), and the cost depends on both the product and the customer characteristics.
• A customer may represent a collection of people, as policies can cover more than one person.
• A customer may purchase a product that was not viewed!
Product Options
Each product has 7 customizable options selected by customers, each with 2, 3, or 4 ordinal values possible:

A product is simply a vector with length 7 whose values are chosen from each of the options listed above. The cost of a product is a function of both the product options and customer characteristics.

Variable Descriptions

customerID - A unique identifier for the customer shoppingpt - Unique identifier for the shopping point of a given customer
recordtype - 0=shopping point, 1=purchase point day - Day of the week (0-6, 0=Monday) time - Time of day (HH:MM) state - State where shopping point occurred location - Location ID where shopping point occurred groupsize - How many people will be covered under the policy (1, 2, 3 or 4)
homeowner - Whether the customer owns a home or not (0=no, 1=yes)
carage - Age of the customer’s car carvalue - How valuable was the customer’s car when new
riskfactor - An ordinal assessment of how risky the customer is (1, 2, 3, 4) ageoldest - Age of the oldest person in customer's group
ageyoungest - Age of the youngest person in customer’s group marriedcouple - Does the customer group contain a married couple (0=no, 1=yes)
Cprevious - What the customer formerly had or currently has for product option C (0=nothing, 1, 2, 3,4) durationprevious - how long (in years) the customer was covered by their previous issuer
A,B,C,D,E,F,G - the coverage options
cost - cost of the quoted coverage options

 
  • License Type Open Data Commons
  • Data Original Source Attribution https://www.kaggle.com/akhilups/insurance-product-purchase-prediction