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Table 2 performance using various sizes of added training examples to the original training set

From: Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes

 

Added training size

1000

2000

3000

5000

10000

Precision

0.774

0.78

0.776

0.78

0.782

Recall

0.864

0.87

0.876

0.882

0.864

F1

0.804

0.81

0.82

0.829

0.824

AUROC

0.664

0.69

0.704

0.712

0.71

SD

0.004

0

0.006

0.006

0.004

  1. The models have been trained on several subsets with various sizes of unlabeled data combined with our training set, and the evaluation is performed on the validation set