On this Picostat.com 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
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,
Springer-Verlag, New York
Dataset imported from https://www.r-project.org.