K-Fold Cross-Validation - What does k-fold cross-validation mean to split?

Data is partitioned into k separate subsets, or folds, in K-Folds Cross Validation. To train the model, we utilize k-1 subsets, and to test it, we use the remaining subset, also known as the final fold. The next step is to average the model against all of the folds. The next step is to compare it to the test set.