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Saeed Khosravi
2025-11-30 23:44:33 +01:00
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@@ -79,9 +79,17 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
model.fit(X_train, y_train) model.fit(X_train, y_train)
``` ```
### STEP 4: Train different models to find the best possible approach
What we are looking for:
Dangerous: Sick → predicted healthy : high recall score or low FN
Costly: Healthy → predicted sick : high precision score or low FP
``` ```
✅ 1. Stratified K-fold only apply on train. Of each fold next steps:
✅ 1. Stratified K-fold only apply on train.
🗹 2. train LGBM model using KMEANS_SMOTE with k_neighbors=10 🗹 2. train LGBM model using KMEANS_SMOTE with k_neighbors=10
🗹 3. train Cat_boost 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 🗹 4. implement proposed methods of this article : https://1drv.ms/b/c/ab2a38fe5c318317/IQBEDsSFcYj6R6AMtOnh0X6DAZUlFqAYq19WT8nTeXomFwg