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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Conditional permutation importance revisited

Fig. 6

Stability of the CPI: party vs. permimp implementation. Data were generated according to a linear model with 12 uncorrelated normally distributed predictors, the regression coefficients were 5, 5, 2, 0, -5, -5, -2, 0, 0, 0, 0, and 0. In each of the 1000 replications 1000 observations were sampled, and a regression RF with 1000 trees was fit, after which the CPI was computed with a threshold value of s=0.5. The mean CPI (lines) as well as the region between the first and third quartile (shaded area) of the CPI distribution across the 1000 replications are depicted for every predictor, both for the party and the permimp implementation of the CPI, in blue and red, respectively. As a reference, the unconditional PI, which corresponds to the CPI with a threshold value of s=1 regardless of the implementation, is depicted in black. Because all predictors are independent, the PI and the CPI have demonstrate the same pattern

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