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Class imbalance problem exists. Only 0.172% of fraud labelled data.
To resolve class imbalance issue:
Augmentation
Loss function reconstruction
Batch sampling
Use semi-supervised learning. ex) One-Calss SVM.
Use autoencoder
The text was updated successfully, but these errors were encountered:
reejungkim
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Class imbalance problem exists. Only 0.172% of fraud labelled data.
To resolve class imbalance issue:
Augmentation
Loss function reconstruction
Batch sampling
Use semi-supervised learning. ex) One-Calss SVM.
Use autoencoder
The text was updated successfully, but these errors were encountered: