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Questions about overfitting-underfitting

Read more about overfitting-underfitting

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Questions - overfitting-underfitting

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 underf...
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Siasma

deep-learning

imbalanced-data

overfitting-underfitting

Votes: 0

Answers: 0

Resolve overfitting in a convolutional network

I've written a snippet to classify Omniglot images. I calculate the training and validation losses in each epoch, where the latter is computed using images that were not seen by the network before. Th...
test-img

Blade

deep-learning

pytorch

image-classification

overfitting-underfitting

Votes: 0

Answers: 1

Latest Answer

If your train accuracy is good but testing (data not used in training) accuracy is bad then you have an overfitting problem. I had the same problem with a CNN model. You can use two methods to overcom...
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Amit

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