From: Molecular profiling of thyroid cancer subtypes using large-scale text mining
 |  | TP | TN | FN | FP | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|---|
Our Method | PTC | 641 | 372 | 186 | 14 | 0.979 | 0.775 | 0.865 |
 | ATC | 114 | 1066 | 27 | 6 | 0.950 | 0.809 | 0.874 |
 | FTC | 21 | 1081 | 12 | 99 | 0.175 | 0.636 | 0.275 |
 | FTC* | 75 | 1081 | 12 | 45 | 0.625 | 0.862 | 0.725 |
 | MTC | 189 | 979 | 41 | 4 | 0.979 | 0.822 | 0.894 |
 | Micro Average | 1019 | 3498 | 266 | 69 | 0.937 | 0.793 | 0.859 |
 |  | TP | TN | FN | FP | Precision | Recall | F1 |
Baseline | PTC | 601 | 372 | 226 | 14 | 0.977 | 0.727 | 0.834 |
 | ATC | 109 | 1063 | 32 | 9 | 0.924 | 0.773 | 0.842 |
 | FTC | 19 | 1061 | 14 | 119 | 0.320 | 0.485 | 0.386 |
 | FTC* | 73 | 1061 | 14 | 65 | 0.529 | 0.839 | 0.649 |
 | MTC | 181 | 971 | 49 | 12 | 0.938 | 0.787 | 0.856 |
 | Micro Average | 964 | 3467 | 321 | 100 | 0.906 | 0.750 | 0.821 |