mlbench.friedman3(n, sd=0.2)
n
| number of patterns to create |
sd
| Standard deviation of noise. The default value of 0.2 gives a signal to noise ratio of 3:1. |
0 <= x1 <= 100
40 &pi <= x2 <= 560 &pi
0 <= x3 <= 1
1 <= x4 <= 11
The outputs are created according to the formula
y = atan ((x2 x3 - (1/(x2 x4)))/x1) + e
where e is N(0,sd).
x
| input values (independent variables) |
y
| output values (dependent variable) |
Friedman, Jerome H. (1991) Multivariate adaptive regression splines. The Annals of Statistics 19 (1), pages 1-67.