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README.md
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@@ -8,63 +8,63 @@ Detects cat breed (from the list of 48 common breeds) with about 57% accuracy ba
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See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
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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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Abyssinian 0.9006 0.8747 0.8874 2258
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American Bobtail 0.2692 0.0279 0.0506 2258
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American Curl 0.7350 0.7099 0.7222 2258
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American Shorthair 0.1324 0.0040 0.0077 2258
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Applehead Siamese 0.7165 0.8875 0.7929 2258
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Balinese 0.5761 0.6940 0.6296 2258
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Bengal 0.6503 0.6869 0.6681 2258
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Birman 0.6187 0.7409 0.6743 2258
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Bombay 0.3845 0.8198 0.5235 2258
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British Shorthair 0.4841 0.5461 0.5132 2258
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Burmese 0.6970 0.5164 0.5932 2258
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Calico 0.5151 0.5735 0.5427 2258
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Cornish Rex 0.9182 0.9743 0.9454 2258
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Devon Rex 0.9033 0.9185 0.9108 2258
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Dilute Calico 0.5049 0.5199 0.5123 2258
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Dilute Tortoiseshell 0.5257 0.6484 0.5806 2258
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Domestic Long Hair 0.3075 0.2179 0.2551 2258
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Domestic Medium Hair 0.1858 0.0523 0.0816 2258
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Domestic Short Hair 0.4040 0.4371 0.4199 2258
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Egyptian Mau 0.5908 0.7640 0.6663 2258
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Exotic Shorthair 0.7472 0.5970 0.6637 2258
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Extra-Toes Cat - Hemingway Polydactyl 0.2688 0.0111 0.0213 2258
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Havana 0.8377 0.9212 0.8775 2258
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Himalayan 0.6279 0.5620 0.5931 2258
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Japanese Bobtail 0.5857 0.4827 0.5293 2258
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Maine Coon 0.3408 0.4903 0.4021 2258
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Manx 0.2151 0.0089 0.0170 2258
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Munchkin 0.3909 0.2046 0.2686 2258
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Nebelung 0.8263 0.9841 0.8983 2258
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Norwegian Forest 0.5141 0.5500 0.5315 2258
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Oriental Short Hair 0.5140 0.1218 0.1969 2258
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Persian 0.7143 0.7254 0.7198 2258
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Ragamuffin 0.7079 0.7697 0.7375 2258
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Ragdoll 0.4230 0.2994 0.3506 2258
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Russian Blue 0.6822 0.8729 0.7659 2258
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Scottish Fold 0.7819 0.7400 0.7604 2258
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Siamese 0.5003 0.3831 0.4339 2258
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Siberian 0.6286 0.5629 0.5939 2258
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Snowshoe 0.6556 0.7547 0.7017 2258
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Sphynx 0.9861 0.9708 0.9784 2258
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Tabby 0.2279 0.2294 0.2286 2258
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Tiger 0.2587 0.5403 0.3499 2258
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Tonkinese 0.6426 0.6687 0.6554 2258
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Torbie 0.4277 0.5647 0.4867 2258
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Tortoiseshell 0.5777 0.8034 0.6721 2258
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Turkish Angora 0.5585 0.6174 0.5865 2258
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Turkish Van 0.4265 0.7374 0.5404 2258
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Tuxedo 0.4707 0.8180 0.5975 2258
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accuracy 0.5751 108384
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macro avg 0.5533 0.5751 0.5445 108384
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weighted avg 0.5533 0.5751 0.5445 108384
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```
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