Random Undersampling
A technique for balancing dataset classes by reducing the majority class until both target classes contain an equal number of samples.
Source: Comparative Evaluation of Machine Learning Models for Credit Card Approval Prediction Using Class Imbalance Handling Methods (Academic research) · p.3
Have a question about Random Undersampling? Ask the AI, answers cite the source.