NiWo: An Augmentation Framework to Enhance ML Performance and Interpretability for Tabular Data with Class Imbalance
NiWo optimizes the weights of influential neighborhood instances within an augmentation budget, thus preserving computational efficiency and offering interpretability, and outperforms other augmentation methods at enhancing ML performance, especially over datasets with class imbalance and scarce instances.