metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_setec_mk_tv
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9920432845
- name: NER Recall
type: recall
value: 0.9915699062
- name: NER F Score
type: f_score
value: 0.9918065389
| Feature | Description |
|---|---|
| Name | en_setec_mk_tv |
| Version | 0.0.2 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | tok2vec, ner, count_extraction_component, normalizer_component, feature_aggregator_component |
| Components | tok2vec, ner, count_extraction_component, normalizer_component, feature_aggregator_component |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (11 labels for 1 components)
| Component | Labels |
|---|---|
ner |
AUDIO_FEATURE, COLOR, CONNECTION, INCH, MOUNTING_FEATURE, OS, REFRESH_RATE, RESOLUTION, SOFTWARE_FEATURE, VIDEO_FEATURE, WIRELESS_FEATURE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.18 |
ENTS_P |
99.20 |
ENTS_R |
99.16 |