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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:
Y = 10 * sin(pi * X1 * X2) + 20 * (X3 - 0.5)^2 + 10 * X4 + 5 * X5 + sigma(0,1)
Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at
http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html
Original source: Breiman (1996, p.139).
Characteristics: 40768 cases, 11 continuous attributes
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.
创建时间：
2014-10-03
