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. 2015 May 18;10(5):e0127318. doi: 10.1371/journal.pone.0127318

Table 4. Ranking of each marker according to its importance for predicting Lung Cancer.

Marker Boosted Regression Random Forests
Rank Median Importance a Range Rank Median Importance a Range
CAL 1 69 56–82 1 10 9–10
sCD26 2 16 6–31 2 7 6–8
EGF 3 13 5–24 3 6 6–7
sEGFR 4 2 0–7 4 5 4–5
VEGF 5 0 0–4 6 4 4–4
HB-EGF 6 0 0–1 5 5 4–5

a Importance measures report method-specific estimates of the individual contribution to prediction of each evaluated biomarker. Medians values and range over 1000 runs are provided.