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# Electrocardiogram
We are dealing with an exteremly imbalance dataset related to electrocardiogram signals that contain binary class labels as good and bad signals.
We are dealing with an exteremly imbalance dataset related to electrocardiogram signals that contain binary classes and labeled as good(0) and bad(1) signals.
### STEP 1: Fill missing values
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model.fit(X_train, y_train)
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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
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