Tag Archives: Cross-Validation

Cross-Validation Evaluating the same model on different subsets of data In this article, I’ll discuss parameter tuning, which involves selecting the optimal parameter. Typically, we start by splitting our entire dataset into three parts: training, validation, and testing. We utilize the validation dataset to determine the best parameter for the formula g(xi), essentially finding theContinue reading “ML Zoomcamp 2023 – Evaluation metrics for classification– Part 7”