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Table 2 Different combinations of features by SVM

From: Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis

Combination of features No. of features HCT PT APTT TT FIB D-dimer R-time K-time α MA CI CRP IL-6 PCT BUN Creatinine AUC
1                 0.7015
2                0.7690
3               0.8006
4              0.8130
5             0.8168
6            0.8278
7           0.8362
8          0.8378
9         0.8396
10        0.8370
11       0.8382
12      0.8338
13     0.8332
14    0.8301
15   0.8250
16 0.8157
  1. Entry in boldface showed highest AUC