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---
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 | |