A. ur Rehman

An Explainable and Computationally Efficient Machine Learning Framework for Breast Cancer Diagnosis Using Predictive and Interpretability Analysis

Accurate breast cancer diagnosis is important for supporting early detection and improving clinical decision-making.. This study examines the theoretical and interpretative principles that support the machine learning algorithms applied to the Wisconsin Breast Cancer dataset and evaluates their ability to differentiate...