Table 3.
Classification performances of machine-learning models for the prediction of thymic carcinomas, high-risk TETs or high-risk thymomas
| Feature | Thymic carcinoma | High-risk TET | High-risk thymoma | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sensitivity(%) | Specificity(%) | Accuracy(%) | AUC | Sensitivity(%) | Specificity(%) | Accuracy(%) | AUC | Sensitivity(%) | Specificity(%) | Accuracy(%) | AUC | |
| Random forest | 85.7 (18/21) | 81.0 (47/58) | 82.3 (65/79) | 0.885 | 71.2 (37/52) | 74.1 (20/27) | 72.2 (57/79) | 0.744 | 77.4 (24/31) | 44.4 (12/27) | 62.1 (36/58) | 0.600 |
| 63.7-97.0 a | 68.6-90.1 a | 72.1-90.0 a | 0.793-0.946 a | 56.9-82.9 a | 53.7-88.9 a | 60.9-81.7 a | 0.633-0.835 a | 58.9-90.4 a | 25.5-64.7 a | 48.4-74.5 a | 0.450-0.750 a | |
| k-nearest neighbors | 71.4 (15/21) | 75.9 (44/58) | 74.7 (59/79) | 0.691 | 50.0 (26/52) | 77.8 (21/27) | 59.5 (47/79) | 0.565 | 54.8 (17/31) | 59.3 (16/27) | 56.9 (33/58) | 0.632 |
| 47.8-88.7 a | 62.8-86.1 a | 63.6-83.8 a | 0.576-0.790 a | 35.8-64.2 a | 57.7-91.4 a | 47.9-70.4 a | 0.449-0.676 a | 36.0-72.7 a | 38.8-77.6 a | 43.2-69.8 a | 0.486-0.778 a | |
| Logistic regression | 81.0 (17/21) | 81.0 (47/58) | 81.0 (64/79) | 0.900 | 63.5 (33/52) | 74.1 (20/27) | 67.1 (53/79) | 0.696 | 64.5 (20/31) | 51.9 (14/27) | 58.6 (34/58) | 0.582 |
| 58.1-94.6 a | 68.6-90.1 a | 70.6-89.0 a | 0.812-0.956 a | 49.0-76.4 a | 53.7-88.9a | 55.6-77.3a | 0.582-0.794a | 45.4-80.8a | 31.9-71.3a | 44.9-71.4a | 0.431-0.734a | |
| Decision tree | 76.2 (16/21) | 77.6 (45/58) | 77.2 (61/79) | 0.716 | 51.9 (27/52) | 92.6 (25/27) | 65.8 (52/79) | 0.598 | 71.0 (22/31) | 63.0 (17/27) | 67.2 (39/58) | 0.680 |
| 52.8-91.8 a | 64.7-87.5 a | 66.4-85.9 a | 0.603-0.811 a | 37.6-66.0 a | 75.7-99.1 a | 54.3-76.1 a | 0.482-0.707 a | 52.0-85.8 a | 42.4-80.6 a | 53.7-79.0 a | 0.541-0.819 a | |
| Gradient boost | 47.6 (10/21) | 81.0 (47/58) | 72.2 (57/79) | 0.805 | 55.8 (29/52) | 81.5 (22/27) | 64.6 (51/79) | 0.627 | 71.0 (22/31) | 51.9 (14/27) | 72.4 (42/58) | 0.679 |
| 25.7-70.2 a | 68.6-90.1 a | 60.9-81.7 a | 0.700-0.885 a | 41.3-69.5 a | 61.9-93.7 a | 53.0-75.0 a | 0.511-0.733 a | 52.0-85.8 a | 31.9-71.3 a | 59.1-83.3 a | 0.540-0.818 a | |
| SVM | 71.4 (15/21) | 75.9 (44/58) | 74.7 (59/79) | 0.851 | 55.8 (29/52) | 74.1 (20/27) | 62.0 (49/79) | 0.719 | 80.6 (25/31) | 14.8 (4/27) | 50.0 (29/58) | 0.566 |
| 47.8-88.7 a | 62.8-86.1 a | 63.6-83.8 a | 0.754-0.921 a | 41.3-69.5aa | 53.7-88.9aa | 50.4-72.7 a | 0.606-0.814 a | 62.5-92.5 a | 4.2-33.7 a | 36.6-63.4 a | 0.415-0.717 a | |
AUC, area under the receiver operating characteristic curve; SVM, support vector machine; TET, thymic epithelial tumor.
a
95% confidence interval.