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Table 4 Performance at entity-level and token-level

From: Leveraging text skeleton for de-identification of electronic medical records

Model Entity-level Token-level
Precision Recall F1-score Precision Recall F1-score
Rule-based 0.8747 0.9276 0.9003 0.8802 0.9478 0.9128
CRF 0.9815 0.8972 0.9375 0.9669 0.9236 0.9448
Bi-LSTM 0.9701 0.9235 0.9462 0.9545 0.9027 0.9279
Bi-GRU 0.9665 0.9470 0.9567 0.9592 0.9270 0.9428
TS-GRU 0.9778 0.9502 0.9638 0.9777 0.9447 0.9609