\name{mlbench.friedman1}
\alias{mlbench.friedman1}
\title{Benchmark Problem Friedman 1}
\usage{
mlbench.friedman1(n, sd=1)
}
\arguments{
\item{n}{number of patterns to create}
\item{sd}{Standard deviation of noise}
}
\description{
The regression problem Friedman 1 as described in
\bibcitet{Friedman:1991} and \bibcitet{Breiman:1996}.
Inputs are 10 independent variables uniformly
distributed on the interval \eqn{[0,1]}, only 5 out of these 10 are actually
used. Outputs are created according to
the formula
\deqn{y = 10 \sin(\pi x1 x2) + 20 (x3 - 0.5)^2 + 10 x4 + 5 x5 + e}{
  y = 10 sin(\pi x1 x2) + 20 (x3 - 0.5)^2
  + 10 x4 + 5 x5 + e}

where e is N(0,sd).
}
\value{Returns a list with components
\item{x}{input values (independent variables)}
\item{y}{output values (dependent variable)}
}
\references{
  \bibshow{Breiman:1996, Friedman:1991}
}
\keyword{datagen}
