Description Format Source References
Dataset taken from mlbench. The inputs are 4 independent variables uniformly distributed over the ranges
0 ≤ x1 ≤ 100
40 π ≤ x2 ≤ 560 π
0 ≤ x3 ≤ 1
1 ≤ x4 ≤ 11
The outputs are created according to the formula
y = (x1^2 + (x2 x3 - (1/(x2 x4)))^2)^{0.5} + e
where e is N(0,sd).
A data frame with 100 rows and 5 variables
http://cran.r-project.org/web/packages/mlbench/index.html
Breiman, Leo (1996) Bagging predictors. Machine Learning 24, pages 123-140.
Friedman, Jerome H. (1991) Multivariate adaptive regression splines. The Annals of Statistics 19 (1), pages 1-67.
Friedrich Leisch & Evgenia Dimitriadou (2010). mlbench: Machine Learning Benchmark Problems. R package version 2.1-1.
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