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Table 1 Simulation design for the simulation studies – predictor variables

From: Bias in random forest variable importance measures: Illustrations, sources and a solution

Predictor variables
X 1 ~N(0, 1)
X 2 ~M(2)
X 3 ~M(4)
X 4 ~M(10)
X 5 ~M(20)
  1. The predictor variables are sampled independently from the following distributions. N(0, 1) stands for the standard normal distribution, M(k) stands for the multinomial distribution with values in {0,..., k - 1} and equal probabilities (discrete uniform distribution on {0,..., k - 1}), B(p) stands for the binomial distribution (Bernoulli distribution) with probability p, thus M(2) equals B(0.5).