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
Caravan
A data frame with 5822 observations on 86 variables.
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 James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, https://www.statlearning.com, Springer-Verlag, New York
# NOT RUN {
summary(Caravan)
plot(Caravan$Purchase)
# }
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