2 years ago
#26021
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
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