metadata
license: apache-2.0
datasets:
- prithivMLmods/Face-Age-10K
Classification Report:
precision recall f1-score support
age 01-10 0.9614 0.9669 0.9641 2474
age 11-20 0.8418 0.8467 0.8442 1181
age 21-30 0.8118 0.8326 0.8220 1523
age 31-40 0.6937 0.6683 0.6808 1010
age 41-55 0.7106 0.7528 0.7311 1181
age 56-65 0.6878 0.6646 0.6760 799
age 66-80 0.7949 0.7596 0.7768 653
age 80 + 0.9349 0.8343 0.8817 344
accuracy 0.8225 9165
macro avg 0.8046 0.7907 0.7971 9165
weighted avg 0.8226 0.8225 0.8223 9165
