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README.md
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license: apache-2.0
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datasets:
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- ewanlong/Food_Classification_Dataset
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license: apache-2.0
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datasets:
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- ewanlong/Food_Classification_Dataset
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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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Baked Potato 0.9912 0.9780 0.9846 1500
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Crispy Chicken 0.9811 0.9707 0.9759 1500
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Donut 0.9893 0.9893 0.9893 1500
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Fries 0.9742 0.9827 0.9784 1500
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Hot Dog 0.9830 0.9735 0.9783 1548
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Sandwich 0.9898 0.9673 0.9784 1500
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Taco 0.9327 0.9427 0.9377 1500
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Taquito 0.9624 0.9387 0.9504 1500
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Apple Pie 0.9666 0.9540 0.9602 1000
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Burger 0.9114 0.9940 0.9509 331
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Butter Naan 0.9691 0.9186 0.9431 307
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Chai 0.9801 1.0000 0.9899 344
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Chapati 0.9188 0.9694 0.9435 327
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Cheesecake 0.9573 0.9640 0.9606 1000
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Chicken Curry 0.9610 0.9850 0.9728 1000
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Chole Bhature 0.9841 0.9867 0.9854 376
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Dal Makhani 0.9698 0.9797 0.9747 295
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Dhokla 0.9959 0.9959 0.9959 245
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Fried Rice 0.9485 1.0000 0.9736 350
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Ice Cream 0.9569 0.9770 0.9668 1000
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Idli 0.9934 1.0000 0.9967 302
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Jalebi 0.9931 1.0000 0.9965 288
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Kaathi Rolls 0.9640 0.9606 0.9623 279
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Kadai Paneer 0.9848 0.9731 0.9789 334
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Kulfi 0.9810 0.9673 0.9741 214
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Masala Dosa 0.9890 0.9890 0.9890 273
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Momos 0.9908 0.9969 0.9938 323
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Omelette 0.9829 0.9790 0.9810 1000
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Paani Puri 0.9281 0.9861 0.9562 144
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Pakode 0.9738 0.9665 0.9701 269
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Pav Bhaji 0.9901 0.9803 0.9852 305
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Pizza 0.9647 0.9927 0.9785 275
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Samosa 0.9878 0.9959 0.9918 244
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Sushi 0.9969 0.9800 0.9884 1000
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accuracy 0.9729 23873
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macro avg 0.9719 0.9775 0.9745 23873
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weighted avg 0.9731 0.9729 0.9729 23873
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```
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