**Author**: \N**Source**: Unknown - Date unknown \N**Please cite**: \N\NThis is an artificial data set used in Friedman (1991) and also\Ndescribed in Breiman (1996,p.139). The cases are generated using the\Nfollowing method: Generate the values of 10 attributes, X1, ..., X10\Nindependently each of which uniformly distributed over [0,1]. Obtain\Nthe value of the target variable Y using the equation:\N\NY = 10 * sin(pi * X1 * X2) + 20 * (X3 - 0.5)^2 + 10 * X4 + 5 * X5 + sigma(0,1)\N\NSource: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at\Nhttp://www.ncc.up.pt/~ltorgo/Regression/DataSets.html\NOriginal source: Breiman (1996, p.139).\NCharacteristics: 40768 cases, 11 continuous attributes\N\NReferences\N\NBREIMAN, L. (1996): Bagging Predictors. Machine Learning, 24(3), 123--140. Kluwer Academic Publishers.\NFRIEDMAN, J. (1991): Multivariate Adaptative Regression Splines. Annals of Statistics, 19:1, 1--141.
fried
OpenML dataset with id 564