| Classification Report for Hindi PII Detection | |
| Model: emilyalsentzer/Bio_ClinicalBERT | |
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| precision recall f1-score support | |
| AGE 0.96 0.99 0.98 193 | |
| BUILDINGNUMBER 0.99 0.97 0.98 235 | |
| CITY 0.90 0.94 0.92 373 | |
| CREDITCARD 0.97 1.00 0.98 56 | |
| DATE 0.99 1.00 0.99 273 | |
| EMAIL 1.00 1.00 1.00 286 | |
| FIRSTNAME 0.90 0.94 0.92 2681 | |
| GENDER 0.99 0.99 0.99 147 | |
| LASTNAME 0.83 0.75 0.79 929 | |
| MASKEDNUMBER 0.94 0.64 0.77 160 | |
| PHONE 0.98 0.99 0.98 447 | |
| PREFIX 0.92 0.87 0.89 165 | |
| SSN 0.84 0.96 0.90 361 | |
| STREET 0.96 0.97 0.96 266 | |
| TIME 1.00 1.00 1.00 905 | |
| ZIPCODE 1.00 0.99 1.00 110 | |
| micro avg 0.93 0.93 0.93 7587 | |
| macro avg 0.95 0.94 0.94 7587 | |
| weighted avg 0.93 0.93 0.93 7587 | |