en_pipeline / README.md
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_pipeline
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 1
          - name: NER Recall
            type: recall
            value: 1
          - name: NER F Score
            type: f_score
            value: 1
Feature Description
Name en_pipeline
Version 0.0.0
spaCy >=3.6.1,<3.7.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (53 labels for 1 components)
Component Labels
ner AGE, BASOPHILS, BASOPHILS RANGE, BASOPHILS RESULT, DOCTOR, DOCTORDEGINATION, EOSINOPHILS, EOSINOPHILS RANGE, EOSINOPHILS RESULT, GENDER, HAEMOGLOBIN, HAEMOGLOBIN RANGE (FEMALE), HAEMOGLOBIN RANGE (MALE), HAEMOGLOBIN RESULT, LAB PERSON NAME, LABNAME, LYMPHOCYTES, LYMPHOCYTES RANGE, LYMPHOCYTES RESULT, MCH, MCH RANGE, MCH RESULT, MCHC, MCHC RANGE, MCHC RESULT, MCV, MCV RANGE, MCV RESULT, MONOCYTES, MONOCYTES RANGE, MONOCYTES RESULT, NEUTROPHILS, NEUTROPHILS RANGE, NEUTROPHILS RESULT, PATIENTNAME, PCV , PCV RANGE, PCV RESULT, PLATELET COUNT, PLATELET COUNT RANGE, PLATELET COUNT RESULT, RBC COUNT, RBC RANGE, RBC RESULT, RDW , RDW RANGE, RDW RESULT, REF DOCTOR NAME, SAMPLECOLLECTDATE, TESTNAME, TOTAL WBC COUNT, TOTAL WBC COUNT RANGE, TOTAL WBC COUNT RESULT

Accuracy

Type Score
ENTS_F 100.00
ENTS_P 100.00
ENTS_R 100.00
TOK2VEC_LOSS 0.00
NER_LOSS 0.00