Insertion Sort Complexity

The video tutorial explains the Big O complexity of insertion sort, focusing on both worst and best case scenarios. The worst case is O(n^2), where each element is compared with all previous elements. The best case is O(n), where the list is already sorted, and no comparisons are needed. The tutorial concludes with a brief summary and a preview of the next lecture.

Describe the role of the key element during the insertion process in insertion sort.

How does the number of elements affect the performance of insertion sort in both best and worst cases?