WHAT'S HAPPENING
1. Dataset Partitioning (K Folds)
We have N = 25 samples. In 5-fold cross-validation, the dataset is randomly partitioned into 5 equal-sized subsets. Each subset takes a turn as the validation set while the remaining 4 subsets train the model.