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Table 5 Results of the evaluation of Algorithm 2 over the SEALINC Media dataset

From: Efficient semi-automated assessment of annotations trustworthiness

Annotations

Accuracy

% of Dataset

Precision

Recall

F-measure

in each reputation

 

Covered by the Training set

   

5

0.68

1.69%

0.88

0.73

0.80

10

0.71

3.35%

0.87

0.80

0.83

15

0.78

4.97%

0.88

0.88

0.88

20

0.72

6.45%

0.87

0.80

0.83

  1. Results of the evaluation of Algorithm 2 over the SEALINC Media dataset for training sets formed by aggregating 5, 10, 15 and 20 reputations per user. We report the percentage of dataset actually covered by the training set, the accuracy, the precision, the recall and the F-measure of our prediction.