This question in Machine learning

Suppose you have a voting combination system to recognize upper-case English letters only. It combines three ML models with an integer output (1-26) that represents a character, i.e. 1 for A, 26 for Z Suggest three ideas to make the final decision when these models disagree. Support your answer with an example. Suggest three ways to improve the KNN algorithms