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Table 7 Comparison of confusion matrix value between pre-trained and trained model

From: LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction

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

  1. 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
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BMC Bioinformatics

ISSN: 1471-2105

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