Table 1.
Classifier performance and selected features used to build models for distinguishing serum-derived lipids from injured and uninjured animals. Classifier and feature selection pairs were run independently for male and female animals. Cross-validation estimates were calculated using the average area under the curve (AUC) of five random subsets and served to evaluate performance of each model on previously unseen data. When models were trained on the full dataset (all samples), AUC estimates approached unity. Features selected by two or more feature selection methods are shown in bold and were used to create the final classification models.
Classifier | Feature Selection Method | Sex | Number of Features | Cross-Validation Estimate, AUC (SD) | All Samples, AUC | Selected Features |
---|---|---|---|---|---|---|
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 |