Usage Arguments Value References
1 2 | simu_classif(n = 600, rho = 0.9, sigma = 1, threshold = 0.5,
seed = NULL)
|
n |
number of observations |
rho |
correlation between variables within a group |
sigma |
standard deviation of the variables in the group of noise |
threshold |
to binarize y |
seed |
optional seed to pass to set.seed |
the matrix X of explonatory variables and y the binary variable to predict
Combining clustering of variables and feature selection using random forests: the CoV/VSURF procedure, Marie Chavent, Robin Genuer, Jerome Saracco, hal-01345840
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