| Feature | Description |
| --- | --- |
| **Name** | `da_spacy_sentiment` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.1,<3.6.0` |
| **Default Pipeline** | `tok2vec`, `textcat` |
| **Components** | `tok2vec`, `textcat` |
| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (3 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`textcat`** | `neutral`, `negative`, `positive` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `CATS_SCORE` | 82.58 |
| `CATS_MICRO_P` | 82.40 |
| `CATS_MICRO_R` | 82.40 |
| `CATS_MICRO_F` | 82.40 |
| `CATS_MACRO_P` | 81.24 |
| `CATS_MACRO_R` | 84.43 |
| `CATS_MACRO_F` | 82.58 |
| `CATS_MACRO_AUC` | 92.45 |
| `TOK2VEC_LOSS` | 39608.07 |
| `TEXTCAT_LOSS` | 913.24 |
{"language": ["da"], "tags": ["spacy", "text-classification"], "model-index": [{"name": "da_spacy_sentiment", "results": []}]}
spacy text-classification da region:us
TAGS
#spacy #text-classification #da #region-us 


### Label Scheme



View label scheme (3 labels for 1 components)


### Accuracy




### Label Scheme



View label scheme (3 labels for 1 components) ### Accuracy
TAGS
#spacy #text-classification #da #region-us 
 ### Label Scheme



View label scheme (3 labels for 1 components) ### Accuracy
TAGS
#spacy #text-classification #da #region-us 
### Label Scheme



View label scheme (3 labels for 1 components)### Accuracy