Tag: imbalanced-data
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Part 3: Handling Imbalanced Data: SMOTE, ADASYN, and Beyond
SMOTE vs ADASYN vs cost-sensitive learning on Kaggle fraud data. Benchmark shows which method wins at precision, recall, and edge cases.
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Detecting Financial Fraud using Anomaly Detection Techniques
Detect credit card fraud with Isolation Forest on 99.8% imbalanced data. SMOTE resampling vs raw: which metric to trust? Code + benchmarks.