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@@ -4,4 +4,40 @@ metrics:
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  - accuracy
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  - f1
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  ---
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- See https://www.kaggle.com/code/dima806/portuguese-meals-image-detection-vit for more details.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - accuracy
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  - f1
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  ---
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+ Return Portuguese meal type based on an image.
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+
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+ See https://www.kaggle.com/code/dima806/portuguese-meals-image-detection-vit for more details.
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+
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+ ```
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+ Classification report:
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+
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+ precision recall f1-score support
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+
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+ donuts 1.0000 0.9861 0.9930 216
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+ hamburguer 1.0000 0.9954 0.9977 216
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+ feijoada 0.9954 0.9908 0.9931 217
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+ batatas_fritas 1.0000 1.0000 1.0000 216
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+ esparguete_bolonhesa 1.0000 1.0000 1.0000 216
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+ caldo_verde 0.9954 1.0000 0.9977 217
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+ pasteis_bacalhau 0.9954 1.0000 0.9977 217
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+ cozido_portuguesa 1.0000 1.0000 1.0000 216
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+ jardineira 1.0000 1.0000 1.0000 217
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+ arroz_cabidela 1.0000 1.0000 1.0000 216
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+ nata 1.0000 1.0000 1.0000 216
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+ croissant 1.0000 1.0000 1.0000 216
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+ cachorro 0.9954 0.9954 0.9954 217
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+ tripas_moda_porto 0.9909 1.0000 0.9954 217
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+ aletria 0.9954 1.0000 0.9977 216
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+ pizza 0.9954 0.9954 0.9954 217
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+ bacalhau_natas 1.0000 1.0000 1.0000 216
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+ ovo 0.9954 1.0000 0.9977 217
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+ waffles 1.0000 1.0000 1.0000 216
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+ francesinha 1.0000 1.0000 1.0000 217
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+ bolo_chocolate 1.0000 0.9954 0.9977 216
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+ gelado 0.9954 0.9954 0.9954 217
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+ bacalhau_bras 1.0000 1.0000 1.0000 216
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+
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+ accuracy 0.9980 4978
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+ macro avg 0.9980 0.9980 0.9980 4978
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+ weighted avg 0.9980 0.9980 0.9980 4978
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+ ```