Cross-validation is a critical technique used to evaluate how well a model will perform on new data. The primary goal is to assess a model's performance in a way that minimizes issues like overfitting (where the model...
Cross Validation
Generalization
KFold Cross Validation
Explain the concept of cross-validation. Why is it important, and what are some common techniques used for cross-validation?
machine learning
Intermediate Level