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@@ -3,22 +3,22 @@ license: apache-2.0
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  metrics:
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  - accuracy
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  ---
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- Achieved 77% weighted accuracy for classification between 3 common galaxy types (S, E, Sb).
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  See [my Kaggle notebook](https://www.kaggle.com/code/dima806/galaxy-type-image-detection-vit) for more details.
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/mf8D2EJp_YABOryZHzSff.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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- E 0.7691 0.8703 0.8166 13591
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- S 0.7165 0.6679 0.6913 13591
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- SB 0.8099 0.7583 0.7833 13592
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- accuracy 0.7655 40774
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- macro avg 0.7652 0.7655 0.7637 40774
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- weighted avg 0.7652 0.7655 0.7637 40774
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  ```
 
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  metrics:
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  - accuracy
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  ---
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+ Achieved 78% weighted accuracy for classification between 3 common galaxy types (S, E, Sb).
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  See [my Kaggle notebook](https://www.kaggle.com/code/dima806/galaxy-type-image-detection-vit) for more details.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/g5Gx6ra0hLYDU6BujnhPJ.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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+ E 0.7656 0.8848 0.8209 13592
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+ S 0.7526 0.6685 0.7081 13591
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+ SB 0.8262 0.7900 0.8077 13591
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+ accuracy 0.7811 40774
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+ macro avg 0.7815 0.7811 0.7789 40774
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+ weighted avg 0.7815 0.7811 0.7789 40774
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  ```