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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.