What Are the Advantages of Using Ridge Regression?
1. Multicollinearity Handling: Ridge regression can handle multicollinearity, a common issue in cancer datasets where many predictors are correlated. 2. Bias-Variance Tradeoff: It provides a better balance between bias and variance, leading to more reliable predictions. 3. Feature Selection: Although not as effective as lasso regression for feature selection, ridge regression still helps in identifying less important features by shrinking their coefficients.
