Data Issues
Imbalanced data and other supervised learning data problems.
0/9 done
Data Issues
1 lesson · Read before practicing
Imbalanced data handling
- 1Accuracy and Class ImbalanceEasy
- 2Purpose of OversamplingEasy
- 3SMOTE MechanismEasy
- 4Undersampling and Its DrawbackMed
- 5Class Weights in Logistic RegressionMed
- 6SMOTE Before Cross-ValidationMed
- 7PR Curve vs ROC for Imbalanced DataMed
- 8Recall vs F1 for Fraud DetectionHard
- 9Threshold Adjustment for Imbalanced ClassesHard