metadata
tags:
- spacy
- token-classification
language:
- en
license: cc-by-4.0
model-index:
- name: en_Disease_A_Z_Spacy
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.6352247605
- name: NER Recall
type: recall
value: 0.6482827776
- name: NER F Score
type: f_score
value: 0.6416873449
library_name: spacy
pipeline_tag: token-classification
| Feature | Description |
|---|---|
| Name | en_Disease_A_Z_Spacy |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | cc-by-4.0 |
| Author | Md Ataur Rahman |
Label Scheme
View label scheme (11 labels for 1 components)
| Component | Labels |
|---|---|
ner |
Anatomy_E, Cause_E, Complication_E, Composition_E, Diagnosis_E, Disease_E, Medicine_E, Precaution_E, Riskfactor_E, Surgery_E, Symptom_E |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
64.17 |
ENTS_P |
63.52 |
ENTS_R |
64.83 |
TRANSFORMER_LOSS |
1668093.31 |
NER_LOSS |
1753164.48 |