machine-learning
Class imbalance, spotted in EDA
taught
Noticing a lopsided target distribution before it silently produces a misleadingly accurate-looking model.
Taught in
-
Class imbalance
Modern Machine Learning
Requires
- the-ml-course-map required
Required by
- Bias and fairness in practice required
- Oversampling, SMOTE, and undersampling required
- Precision, recall, and F1 required
- Stratified k-fold cross-validation required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.