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README.md
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- accuracy
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- f1
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---
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- accuracy
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- f1
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---
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Returns age bin based on a facial image.
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See https://www.kaggle.com/code/dima806/facial-age-years-detection-vit for more details.
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```
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Classification report:
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precision recall f1-score support
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01 0.6281 0.9054 0.7417 222
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02 0.3854 0.5000 0.4353 222
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03 0.7121 0.2117 0.3264 222
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04 0.8462 0.0495 0.0936 222
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05 0.4567 0.8559 0.5956 222
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06-07 0.6808 0.6502 0.6651 223
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08-09 0.6111 0.6413 0.6258 223
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10-12 0.5833 0.5676 0.5753 222
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13-15 0.6577 0.7668 0.7081 223
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16-20 0.5935 0.6577 0.6239 222
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21-25 0.5514 0.6009 0.5751 223
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26-30 0.4274 0.4640 0.4449 222
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31-35 0.5376 0.2252 0.3175 222
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36-40 0.4370 0.2646 0.3296 223
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41-45 0.3746 0.5830 0.4561 223
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46-50 0.3828 0.4978 0.4327 223
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51-55 0.4061 0.4189 0.4124 222
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56-60 0.3791 0.2613 0.3093 222
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61-65 0.4706 0.1794 0.2597 223
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66-70 0.3811 0.4550 0.4148 222
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71-80 0.5468 0.6577 0.5971 222
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81-90 0.7985 0.9596 0.8717 223
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90+ 0.9781 1.0000 0.9889 223
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accuracy 0.5381 5116
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macro avg 0.5577 0.5380 0.5131 5116
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weighted avg 0.5577 0.5381 0.5132 5116
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```
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