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The inputs of the spirals problem are points on two entangled spirals. If sd>0, then Gaussian noise is added to each data point. mlbench.1spiral creates a single spiral.
sd>0
mlbench.1spiral
mlbench.spirals(n, cycles=1, sd=0) mlbench.1spiral(n, cycles=1, sd=0)
Returns an object of class "mlbench.spirals" with components
"mlbench.spirals"
input values
factor vector of length n with target classes
n
number of patterns to create
the number of cycles each spiral makes
standard deviation of data points around the spirals
# 1 cycle each, no noise p<-mlbench.spirals(300) plot(p) # # 1.5 cycles each, with noise p<-mlbench.spirals(300,1.5,0.05) plot(p)
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