Regression Data Analysis, Overfitting, Loocv, Crossvalidation, Calibration.
often lead to lower residual errors, especially when dealing with noisy data. However, there’s a trade-off between reducing residual error and the risk of overfitting. Overfitting occurs when a fitting model captures noise along with the underlying pattern in the data. While this may result in very