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Weka Tutorial 04: Systematic Oversampling (Class Imbalance Problem) (Rushdi Shams) View | |
Class Imbalance and The Curse of Minority Hubs (Elsevier Journals) View | |
Weka Tutorial 29: Precision-Recall Curve (Model Evaluation) (Rushdi Shams) View | |
Imbalanced Data-set : very common problem in classification (Rocky Jagtiani) View | |
SMOTE (Synthetic Minority Oversampling Technique) for Handling Imbalanced Datasets (Bhavesh Bhatt) View | |
Weka Tutorial 39: Cost Sensitive Learning (Classification) (Rushdi Shams) View | |
Sample Data Analysis Using Weka (harsh mistry) View | |
Weka Tutorial 19: Outliers and Extreme Values (Data Preprocessing) (Rushdi Shams) View | |
Weka Tutorial 05: Held-out Testing (Classification) (Rushdi Shams) View | |
More Data Mining with Weka (4.6: Cost-sensitive classification vs. cost-sensitive learning) (WekaMOOC) View |