What Challenges Exist in Feature Selection for Cancer Research?
Despite its benefits, feature selection in cancer research faces several challenges. These include:
High Dimensionality: Cancer datasets often contain thousands of features, making it difficult to identify the most relevant ones. Feature Correlation: Many features are often correlated with each other, complicating the selection process. Overfitting: Selecting too many features can lead to overfitting, where the model performs well on training data but poorly on new, unseen data.
