Fried
This is an artificial data set used in Friedman (1991) and also described in
Breiman (1996,p.139). The cases are generated using the following method:
Generate the values of 10 attributes, X1, ...,
X10 independently each of which uniformly distributed over
[0,1]. Obtain the value of the target variable Y using the
equation:

- Source: Breiman (1996, p.139).
- Characteristics: 40768 cases, 10 attributes (0 nominal, 10 continuous).
- Download : fried.tar.gz (918841 bytes)
References
BREIMAN, L. (1996): Bagging Predictors. Machine Learning, 24(3),
123--140. Kluwer Academic Publishers.
FRIEDMAN, J. (1991): Multivariate Adaptative Regression Splines.
Annals of Statistics, 19:1, 1--141.