Digital Stylometry: Linking Profiles Across Social Networks
Table 5: Performance of the three human judges and our best model, the temporal-linguistic confusion model.
['Model', 'Accuracy']
Since the task is so much simpler than pairing 11,224 accounts, our combined confusion model had a much greater accuracy than reported in the last section. With an accuracy of 0.86, our model vastly outperformed even the best human judge, at 0.69. Overall, our model beat the average human performance by 0.26 (0.86 to 0.60 respectively) which is a 43% relative (and 26% absolute) improvement.