De-identification In practice
Table 5: Training the AMIA model on optometry dataset 3-fold cross validations
['Key', 'Precision', 'Recall', 'F-measure']
To make sure that the Carafe setting is the same that used in the challenge we first tried the tool on the AMIA data set and produced quite similar results in terms of Precision, Recall and F-measure. Then we trained and evaluated their proposed model on the optometry dataset using 3-fold cross validation. By training model, associated weights of feature functions get fitted to optometry data.