“…Although extensive tests on numerous datasets, with different learning techniques, have shown that 10 is about the appropriate number of folds in cross‐validation technique, to get the best estimate of the error; arguments are by no means conclusive, and debate continues to find which is the best [28]. In this regard, the evaluation results for the five different fold selection (10, 20, 50, 100, and 300) have been shown in Table 5.…”