---
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

<details>

<summary>View label scheme (11 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `AUDIO_FEATURE`, `COLOR`, `CONNECTION`, `INCH`, `MOUNTING_FEATURE`, `OS`, `REFRESH_RATE`, `RESOLUTION`, `SOFTWARE_FEATURE`, `VIDEO_FEATURE`, `WIRELESS_FEATURE` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 99.18 |
| `ENTS_P` | 99.20 |
| `ENTS_R` | 99.16 |