Comments and questions to: delve@cs.toronto.edu
The synthetic dataset "add10" uses a function suggested by Jerome Friedman in "Multivariate Adaptive Regression Splines", technical Report No. 102, November 1988, Laboratory for Computational Statistics, Department of Statistics, Stanford University.
The function is:
f(x1,...,x10) = 10*sin(pi*x1*x2) + 20*(x3-0.5)^2 + 10*x4 + 5*x5 + n,
where n is zero mean unit variance Gaussian noise. The inputs x1...x10
are sampled independently from a uniform [0; 1] distribution.
Origin: artificial
Usage: historical
Number of attributes: 11
Number of cases: 9,792
Number of prototasks: 1
Number of methods run on this dataset: 2
Download add10.tar.gz
Contributed by: Carl Edward Rasmussen
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Last Updated 21 October 1996 Comments and questions to: delve@cs.toronto.edu |
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