A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources

Table 3

Dataset class distribution: before and after applying resampling techniques.

Electricity Grid Simulated Dataset
	Total instances	Stable instances	Instable instances
Imbalanced dataset
Imbalanced dataset	10000	3620	6380
Oversampled dataset
ROS	12760	6380	6380
ADASYN	12760	6380	6380
SMOTE	12760	6380	6380
Borderline-SMOTE	12760	6380	6380
Undersampled data
Near miss	7240	3620	3620
Cluster centroids	7240	3620	3620
Random undersampling	7240	3620	3620