Machine learning competition platforms provide tremendous educational and practical value by facilitating direct, objective quantitative comparisons among competing approaches. By encouraging code sharing, these platforms allow researchers and practitioners to learn from both successful and unsuccessful strategies, rather than focusing myopically on leaderboard rankings or isolated preprocessing steps.