What is overfitting and how does it occur in predictive analytics models? How does overfitting affect a model’s ability to generalize to new data? What are the common signs that indicate a model is overfitting? What techniques, such as regularization and cross-validation, can be used to prevent overfitting? What are the trade-offs between model complexity and performance when addressing overfitting?