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Table 6 Results of the evaluation of Algorithm 2 over the Steve.Museum 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 0.84 0.25% 0.84 0.99 0.90
10 0.84 0.45% 0.84 0.99 0.90
15 0.84 0.66% 0.84 0.99 0.90
20 0.84 0.86% 0.84 0.99 0.90
25 0.84 1.04 % 0.84 0.99 0.90
30 0.84 1.22 % 0.84 0.99 0.90
  1. Results of the evaluation of Algorithm 2 over the Steve.Museum dataset for training sets formed by aggregating 5, 10, 15, 20, 25 and 30 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.