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LightGBM tuning

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Saeed Khosravi
2025-12-06 00:16:08 +01:00
parent 970d00511b
commit fe6b805b31
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@@ -104,8 +104,8 @@ Current results taken KMEANS_SMOTE:
## next steps:
```
✅ 1. Stratified K-fold only apply on train.
🗹 2. train LGBM model using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained)
✅ 2. train LGBM model using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained)
🗹 3. train Cat_boost using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained)
🗹 4. implement proposed methods of this article : https://1drv.ms/b/c/ab2a38fe5c318317/IQBEDsSFcYj6R6AMtOnh0X6DAZUlFqAYq19WT8nTeXomFwg
🗹 5. compare proposed model with SMOTE vs oversampling balancing method
```
```