Cross-Validation §

Group: 5 #group-5

Relations §

• Bias-Variance Tradeoff: Cross-validation is a technique used to estimate the generalization performance of a model and can help in selecting the appropriate model complexity to balance bias and variance.
• Regularization: Cross-validation is used to select the optimal regularization strength by evaluating the model’s performance on held-out data.