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SSciBERT_politics

Text Classification

Inference Endpoints

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kalawinka commited on May 21

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@@ -5,13 +5,13 @@ pipeline_tag: text-classification
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 # English classification model to detect texts from the political science domain
-Accuracy: 0.897
 Predicts 2 classes:
 | class |description| precision | recall | f1-score | support |
 |:------|:------------|:------------|:---------|:-----------|:----------|
-| multi    | other scientific domains|   0.908911 | 0.894737 |   0.901768 |   513 |
-| politics | political science|   0.884615 | 0.9      |   0.892241 |       460 |
 Based on [SSCI-SciBERT](https://link.springer.com/article/10.1007/s11192-022-04602-4)

 ---
 # English classification model to detect texts from the political science domain
+Accuracy: 0.9
 Predicts 2 classes:
 | class |description| precision | recall | f1-score | support |
 |:------|:------------|:------------|:---------|:-----------|:----------|
+| multi    | other scientific domains|   0.911 | 0.899 |   0.905 |   513 |
+| politics | political science|   0.889 | 0.902      |   0.895 |       460 |
 Based on [SSCI-SciBERT](https://link.springer.com/article/10.1007/s11192-022-04602-4)