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I'm using the rfPermute to calculate the pval of the feature importance. Is it normal for a feature to be significant, but those with a higher %IncMSE to be not? Or have I done something wrong?

LFS.rfP2 <- rfPermute(
C40_WKS ~ ., 
data = LFS,
ntree = 1000,
na.action = na.omit, 
nrep = 500, 
num.cores = 6
)

plot(
  rp.importance(LFS.rfP2, scale = FALSE),
  alpha = 0.06
  )

enter image description here

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