On this R-data statistics page, you will find information about the Caravan data set which pertains to The Insurance Company (TIC) Benchmark. The Caravan data set is found in the ISLR R package. You can load the Caravan data set in R by issuing the following command at the console data("Caravan"). This will load the data into a variable called Caravan. If R says the Caravan data set is not found, you can try installing the package by issuing this command install.packages("ISLR") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Caravan R data set. The size of this file is about 1,024,817 bytes.
The Insurance Company (TIC) Benchmark
The data contains 5822 real customer records. Each record consists of 86 variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). The sociodemographic data is derived from zip codes. All customers living in areas with the same zip code have the same sociodemographic attributes. Variable 86 (
Purchase) indicates whether the customer purchased a caravan insurance policy. Further information on the individual variables can be obtained at http://www.liacs.nl/~putten/library/cc2000/data.html
A data frame with 5822 observations on 86 variables.
The data was originally supplied by Sentient Machine Research and was used in the CoIL Challenge 2000.
P. van der Putten and M. van Someren (eds) . CoIL Challenge 2000: The Insurance Company Case. Published by Sentient Machine Research, Amsterdam. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. June 22, 2000. See http://www.liacs.nl/~putten/library/cc2000/
P. van der Putten and M. van Someren. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. Machine Learning, October 2004, vol. 57, iss. 1-2, pp. 177-195, Kluwer Academic Publishers
Games, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, www.StatLearning.com, Springer-Verlag, New York
Dataset imported from https://www.r-project.org.