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Table 3 Simulation design of predictors for Scenario 3 and 4

From: Intervention in prediction measure: a new approach to assessing variable importance for random forests

Variables

X 1

X 2

X 3

X 4

X 5

X 6

X 7

Distribution

B(1,0.6)

N(3,1)

Unif(4,6)

N(5,1)

X 2 + N(0,0.15)

P(X 2)

P(X 1)

  1. The variables are sampled independently from the following distributions. B(1, π) stands for the Binomial distribution with n = 1, i.e the Bernoulli distribution, and probability π. N(μ,σ) stands for the normal distribution with mean μ and standard deviation σ. Unif(a,b) stands for the continuous uniform distribution on the interval [a,b]. P(X) stands for random permutation of the values generated in the variable X
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BMC Bioinformatics

ISSN: 1471-2105

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