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@@ -4,7 +4,7 @@ datasets:
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  - Elriggs/imagenet-50-subset
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  ---
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- ```
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  Classification Report:
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  precision recall f1-score support
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@@ -62,4 +62,4 @@ european fire salamander 0.9083 0.9356 0.9217 900
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  accuracy 0.8808 45000
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  macro avg 0.8813 0.8808 0.8808 45000
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  weighted avg 0.8813 0.8808 0.8808 45000
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- ```py
 
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  - Elriggs/imagenet-50-subset
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  ---
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+ ```py
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  Classification Report:
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  precision recall f1-score support
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  accuracy 0.8808 45000
63
  macro avg 0.8813 0.8808 0.8808 45000
64
  weighted avg 0.8813 0.8808 0.8808 45000
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+ ```