| 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
View label scheme (99 labels for 4 components)
| Component | Labels |
| textcat_multilabel | AAA |
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 |
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Evaluation results
- NER Precisionself-reported0.000
- NER Recallself-reported0.000
- NER F Scoreself-reported0.000
- TAG (XPOS) Accuracyself-reported0.000
- Lemma Accuracyself-reported0.000
- Unlabeled Attachment Score (UAS)self-reported0.000
- Labeled Attachment Score (LAS)self-reported0.000
- Sentences F-Scoreself-reported0.000