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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