CEACAM5 and gastric cancer: RF is a randomly constructedclassifier that contains multiple decision trees and is commonly usedto accomplish prediction tasks.39 To furtherimprove the performance of the IMCN chip in GC diagnosis, 70% of samples(48 GC and 49 HC) was randomly selected and trained to construct adiagnostic model by RF on the combined biomarkers (NEV signatures,CEA, and CA199), and 30% (20 GC and 22 HC) was used for testing.