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. 2020 Sep 30;10:16159. doi: 10.1038/s41598-020-73408-2

Table 3.

List of the top 10 most significant features (compounds) identified by mean decreased accuracy applying Random Forest algorithm on the GC × GC-HRTOFMS data set. For each feature, important identification metrics are provided.

Feature identification CAS# 1tR (w) 2tR (s) MS library match MS library probability MSI level
Butadioic acid dimethyl ester 106-65-0 1410 0.895 917 96.8 2
Nonanal 124-19-6 1542 2.295 930 75.4 1
6-Octen-1-ol, 3,7-dimethyl-, acetate 150-84-5 1982 2.403 942 31.7 3
Cyclopentane, 1,1,3,3-tetramethyl- 50,876-33-0 1210 1.524 760 9.5 3
Decane, 2,5,9-trimethyl 62,108-22-9 990 1.385 730 9.2 3
1,7-Octanediol, 3,7-dimethyl- 107-74-4 1478 2.815 855 17.3 3
5,9-Undecadien-2-one, 6,10-dimethyl- 689-67-8 2178 2.81 930 48.7 3
Acetic acid, phenyl ester 122-79-2 1478 0.93 831 59 2
Diphenyl ether 101-84-8 2106 0.655 823 56.6 2
1-Nonene 124-11-8 982 1.49 925 24.3 3