Highly accurate colorectal cancer prediction model based on Raman spectroscopy using patient serum

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.