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Saeed Khosravi
2025-11-30 23:34:59 +01:00
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@@ -81,8 +81,9 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
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2. train LGBM model using KMEANS_SMOTE with k_neighbors=10
3. train Cat_boost using KMEANS_SMOTE with k_neighbors=10
4. implement proposed methods of this article : https://1drv.ms/b/c/ab2a38fe5c318317/IQBEDsSFcYj6R6AMtOnh0X6DAZUlFqAYq19WT8nTeXomFwg
5. compare proposed model with SMOTE vs oversampling balancing method
✅ 1. Stratified K-fold only apply on train. Of each fold
🗹 2. train LGBM model using KMEANS_SMOTE with k_neighbors=10
🗹 3. train Cat_boost using KMEANS_SMOTE with k_neighbors=10
🗹 4. implement proposed methods of this article : https://1drv.ms/b/c/ab2a38fe5c318317/IQBEDsSFcYj6R6AMtOnh0X6DAZUlFqAYq19WT8nTeXomFwg
🗹 5. compare proposed model with SMOTE vs oversampling balancing method
```