Choosing the correct value of λ is vital because it balances the trade-off between bias and variance. A smaller λ may lead to overfitting, capturing noise in the data, while a larger λ can cause underfitting, missing significant patterns. Both scenarios are detrimental in cancer research where predictive accuracy can influence clinical decisions.
