2 years ago

#26021

test-img

Siasma

Does model underfitting based-on Accuracy matter for imbalanced data?

I am training a deep learning model on imbalanced data for binary classification. I used binary_crossentropy for the loss function and Accuracy for the metric. When I plotted the loss, I got an underfitting. Is that a problem as my data is imbalanced and the accuracy does not reflect how well the model is?

deep-learning

imbalanced-data

overfitting-underfitting

0 Answers

Your Answer

Accepted video resources