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Adding oversampling #27

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rezaBarzgar opened this issue Mar 1, 2023 · 0 comments
Open

Adding oversampling #27

rezaBarzgar opened this issue Mar 1, 2023 · 0 comments
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@rezaBarzgar
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The PAN dataset is highly imbalanced, with about 3% predatory and 97% non-predatory messages.
As a result, we cannot train the model properly to detect predatory messages. We must use oversampling methods such as SMOTE to produce more positive labels.
@rezaBarzgar rezaBarzgar self-assigned this Mar 1, 2023
rezaBarzgar added a commit that referenced this issue Mar 7, 2023
@rezaBarzgar
adding smote oversampling (#27)
0cd4acf
rezaBarzgar added a commit that referenced this issue Mar 7, 2023
@rezaBarzgar
adding smote oversampling (#27)
4c3710e
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