Linear SVM |
RFE |
M |
27 |
0.875 (0.133) |
0.980 |
63, 89, 244, 258, 365, 378, 417, 453, 457, 459, 476, 497, 527, 541, 543, 551, 570, 635, 651, 788, 792, 798, 808, 857, 967, 1095, 1114, |
Logistic Regression |
RFE |
M |
24 |
0.840 (0.174) |
0.992 |
88, 89, 183, 279, 365, 453, 457, 459, 473, 476, 486, 502, 527, 543, 551, 570, 601, 651, 652, 788, 792, 808, 1104, 1114
|
oPLS-DA |
GA |
M |
31 |
0.941 (0.062) |
1.000 |
17, 63, 161, 171, 174, 209, 278, 316, 365, 407, 494, 497, 513, 527, 531, 543, 550, 551, 567, 589, 601, 616, 621, 626, 627, 652, 745, 774, 788, 1080, 1114
|
oPLS-DA |
iPLS |
M |
20 |
0.891 (0.090) |
0.992 |
61, 101, 258, 273, 321, 346, 365, 473, 527, 543, 570, 617, 652, 851, 876, 951, 994, 998, 1008, 1095
|
Linear SVM |
RFE |
F |
28 |
0.766 (0.140) |
0.953 |
8, 10, 35, 103, 104, 282, 328, 346, 348, 349, 388, 437, 457, 460, 490, 615, 757, 780, 784, 813, 825, 874, 875, 920, 989, 1026, 1044, 1110
|
Logistic Regression |
RFE |
F |
29 |
0.752 (0.120) |
0.976 |
8, 35, 73, 81, 86, 103, 263, 282, 328, 346, 348, 388, 417, 437, 443, 455, 532, 620, 745, 757, 813, 825, 874, 875, 972, 988, 989, 1055, 1110
|
oPLS-DA |
GA |
F |
29 |
0.949 (0.156) |
0.993 |
8, 27, 103, 154, 270, 378, 387, 408, 416, 455, 477, 531, 538, 550, 620, 647, 648, 652, 669, 712, 717, 719, 774, 825, 854, 869, 1082, 1095, 1110
|
oPLS-DA |
iPLS |
F |
24 |
0.880 (0.110) |
0.943 |
27, 34, 141, 146, 149, 153, 299, 328, 381, 410, 425, 529, 590, 620, 621, 634, 675, 714, 751, 773, 842, 903, 936, 989
|