Fig. 6: Schematic diagram of 5-fold cross-validation process for model training and validation.
From: Machine learning methods for predicting residual strength in corroded oil and gas steel pipes
The 5-fold cross-validation process splits the dataset into five subsets, using each once for validation and averaging the results to ensure robust model evaluation.
