Recursive Feature Elimination (RFE) is a feature selection technique used in machine learning to identify the most significant features for a predictive model. In the context of cancer research, RFE helps in selecting the most important biomarkers or genes that contribute to the progression or diagnosis of cancer. The algorithm recursively removes the least significant features and builds the model repeatedly until the optimal number of features is reached.
