_______ is a technique used to handle imbalanced datasets in predictive model training.
- K-Means Clustering
- Mean Imputation
- Principal Component Analysis
- SMOTE (Synthetic Minority Over-sampling Technique)
SMOTE (Synthetic Minority Over-sampling Technique) is a technique used to handle imbalanced datasets in predictive model training. It generates synthetic samples for the minority class to balance the dataset and improve the model's performance on minority class instances.
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