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. 2020 Nov 15;12(11):1311–1324. doi: 10.4251/wjgo.v12.i11.1311

Table 4.

Boosted tree model for the prediction of colorectal disease


Cancer
Adenoma
Hyperplastic polyp
NET
Measure Training
Entropy R-square 0.9977 0.9269 0.9947 0.9985
Generalized R-square 0.9982 0.9630 0.9962 0.9986
Raman shift, cm-1 Effect
A1 611-631 0.0176 0.0285 0.2404 0.0148
A2 700-720 0.0191 0.0636 0.0476 0.0062
A3 751-771 0.1716 0.0479 0.0274 0.0182
A4 830-859 0.0580 0.2008 0.1936 0.0246
A5 993-1013 0.0084 0.0478 0.0054 0.0324
A6 1060-1080 0.0052 0.0555 0.0407 0.0000
A7 1091-1111 0.0686 0.0370 0.2886 0.0180
A8 1123-1143 0.1873 0.0722 0.0563 0.0412
A9 1244-1264 0.0481 0.0548 0.0129 0.0022
A10 1275-1295 0.2291 0.1146 0.0224 0.0000
A11 1322-1343 0.0505 0.0463 0.0149 0.7714
A12 1408-1428 0.0663 0.0551 0.0132 0.0662
A13 1448-1468 0.0089 0.0066 0.0041 0.0000
A14 1596-1616 0.0145 0.0758 0.0293 0.0049
A15 1647-1667 0.0470 0.0936 0.0033 0.0000

NET: Neuroendocrine tumor.