#bad precision F1 and Recall accuracy

4 messages · Page 1 of 1 (latest)

copper carbon
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hello currently training 2 models (res50 and densenet121) the issue is i have good training and testing accuracy (94 for res and den 90) but my f1 score is so bad like we talking 1-4% during training duration, i'm doing image classifcation, on the amazon berkley object dataset, if u have any idea what to do or what can be the leading cause for this, comment below, thank you!,

noble galleon
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Is your dataset imbalanced?

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F1 score and accuracy measure entirely different things and each metric comes with their own inductive biases.

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That being said, whatever you do choose.. Try to justify it.