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Journal of Trust Management

Table 1 Results of the evaluation of Algorithm 1 over the SEALINC Media dataset

From: Efficient semi-automated assessment of annotations trustworthiness

# Tags per

% Training

    

Time

reputation

set covered

Accuracy

Precision

Recall

F-measure

(sec.)

5

8%

0.73

0.88

0.81

0.84

87

10

19%

0.76

0.87

0.84

0.86

139

15

31%

0.76

0.86

0.86

0.86

221

20

41%

0.84

0.87

0.96

0.86

225

  1. Results of the evaluation of Algorithm 1 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.
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