ai4privacy-TokenBased-BERT / classification_report.json
MinhTriet's picture
Upload folder using huggingface_hub
2138b24 verified
Raw
History Blame Contribute Delete
2.41 kB
{
"AGE": {
"precision": 0.9516,
"recall": 0.9833,
"f1-score": 0.9672,
"support": 60
},
"BUILDINGNUM": {
"precision": 0.9808,
"recall": 0.9533,
"f1-score": 0.9668,
"support": 107
},
"CITY": {
"precision": 0.9851,
"recall": 0.9754,
"f1-score": 0.9802,
"support": 203
},
"CREDITCARDNUMBER": {
"precision": 1.0,
"recall": 0.8889,
"f1-score": 0.9412,
"support": 27
},
"DATE": {
"precision": 0.9935,
"recall": 1.0,
"f1-score": 0.9967,
"support": 153
},
"DRIVERLICENSENUM": {
"precision": 0.7895,
"recall": 0.7143,
"f1-score": 0.75,
"support": 21
},
"EMAIL": {
"precision": 0.9912,
"recall": 1.0,
"f1-score": 0.9956,
"support": 112
},
"GENDER": {
"precision": 1.0,
"recall": 0.9857,
"f1-score": 0.9928,
"support": 70
},
"GIVENNAME": {
"precision": 0.9711,
"recall": 0.9882,
"f1-score": 0.9796,
"support": 850
},
"IDCARDNUM": {
"precision": 0.9,
"recall": 0.9184,
"f1-score": 0.9091,
"support": 98
},
"PASSPORTNUM": {
"precision": 0.9286,
"recall": 0.9512,
"f1-score": 0.9398,
"support": 41
},
"SOCIALNUM": {
"precision": 0.931,
"recall": 0.931,
"f1-score": 0.931,
"support": 29
},
"STREET": {
"precision": 0.991,
"recall": 0.9735,
"f1-score": 0.9821,
"support": 113
},
"SURNAME": {
"precision": 0.935,
"recall": 0.8678,
"f1-score": 0.9001,
"support": 348
},
"TAXNUM": {
"precision": 0.92,
"recall": 0.9583,
"f1-score": 0.9388,
"support": 24
},
"TELEPHONENUM": {
"precision": 0.9871,
"recall": 1.0,
"f1-score": 0.9935,
"support": 153
},
"TIME": {
"precision": 1.0,
"recall": 1.0,
"f1-score": 1.0,
"support": 144
},
"TITLE": {
"precision": 1.0,
"recall": 1.0,
"f1-score": 1.0,
"support": 119
},
"ZIPCODE": {
"precision": 0.9615,
"recall": 0.9804,
"f1-score": 0.9709,
"support": 51
},
"OVERALL_MICRO": {
"precision": 0.9698,
"recall": 0.9655,
"f1-score": 0.9676,
"support": 2723
},
"OVERALL_MACRO": {
"precision": 0.9588,
"recall": 0.951,
"f1-score": 0.9545,
"support": 2723
},
"OVERALL_WEIGHTED": {
"precision": 0.9694,
"recall": 0.9655,
"f1-score": 0.9672,
"support": 2723
}
}