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Module 6 · Deep Learning + MLOps
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Class imbalance: production fix
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📝 **Question:** Most-recommended modern fix for severe imbalance? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
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📝 **Question:** Most-recommended modern fix for severe imbalance? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
A
SMOTE the minority class to a 1:1 ratio — synthetic interpolation is the standard imbalanced-data preprocessing step.
B
Class-weighted loss + threshold tuning + PR-AUC. Sample only when weighting isn't enough.
C
Use balanced accuracy and a one-vs-rest classifier — multi-class wrapping naturally handles skewed binary class distributions.
D
Switch to a one-class SVM — anomaly-detection framing fits any task where the positive rate is below 5% of the training set.
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