Table 7.
Comparison of confusion matrix value between pre-trained and trained model
Loss | Pre-train | Train | ||||||
---|---|---|---|---|---|---|---|---|
TP | FP | TN | FN | TP | FP | TN | FN | |
PRAUC-loss | 98,045 | 2,691,310 | 66,601,770 | 60,662 | 125,331 | 20,411 | 69,272,660 | 33,376 |
Negative-F1 | 15,665 | 84,478 | 69,208,610 | 143,043 | 33,447 | 59,797 | 69,233,270 | 125,260 |
Weighed-logistic | 119,968 | 4,113,699 | 65,179,376 | 38,740 | 127,198 | 14,718 | 69,278,350 | 31,510 |
Columns of Pre-train is the prediction confusion matrix of different pre-trained model, and columns of Train belongs to the model after transfer learning