A. Chakravarthy

An Adaptive Framework for Breast Cancer Prognosis Using LARF-Driven Feature Selection, Self-Tuning Hyperparameters and Multi-Model Ensemble Fusion

The use of advanced pre-processing methods, feature selection, hyperparameter optimization, and ensemble learning methods in this study provides a holistic solution for breast cancer diagnosis. The technique employs the synthetic minority over-sampling technique (SMOTE) to rebalance the dataset, along with the interqua...