---
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_scispaCy_aaa_classification
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.0
    - name: NER Recall
      type: recall
      value: 0.0
    - name: NER F Score
      type: f_score
      value: 0.0
  - task:
      name: TAG
      type: token-classification
    metrics:
    - name: TAG (XPOS) Accuracy
      type: accuracy
      value: 0.0
  - task:
      name: LEMMA
      type: token-classification
    metrics:
    - name: Lemma Accuracy
      type: accuracy
      value: 0.0
  - task:
      name: UNLABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Unlabeled Attachment Score (UAS)
      type: f_score
      value: 0.0
  - task:
      name: LABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Labeled Attachment Score (LAS)
      type: f_score
      value: 0.0
  - task:
      name: SENTS
      type: token-classification
    metrics:
    - name: Sentences F-Score
      type: f_score
      value: 0.0
---
| Feature | Description |
| --- | --- |
| **Name** | `en_scispaCy_aaa_classification` |
| **Version** | `1.0.0` |
| **spaCy** | `>=3.7.4,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner`, `textcat_multilabel` |
| **Components** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner`, `textcat_multilabel` |
| **Vectors** | 4087446 keys, 50000 unique vectors (200 dimensions) |
| **Sources** | n/a |
| **License** | GPL v3|
| **Author** | Daniel C Thompson |

### Label Scheme

<details>

<summary>View label scheme (99 labels for 4 components)</summary>

| Component | Labels |

| **`textcat_multilabel`** | `AAA` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `CATS_SCORE` | 99.46 |
| `CATS_MICRO_P` | 93.06 |
| `CATS_MICRO_R` | 99.26 |
| `CATS_MICRO_F` | 96.06 |
| `CATS_MACRO_P` | 93.06 |
| `CATS_MACRO_R` | 99.26 |
| `CATS_MACRO_F` | 96.06 |
| `CATS_MACRO_AUC` | 99.46 |
| `TOK2VEC_LOSS` | 76.75 |
| `TEXTCAT_MULTILABEL_LOSS` | 246.39 |