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Horse Race Prediction Using Machine Learning Algorithms

  • Puja Chavan,
  • Pankaj Kunekar,
  • Prajakta Musale,
  • Mrunal Shinde,
  • Atharva Shinde,
  • Nikhil Shinde

摘要

Horse racing has been one of the most enjoyable forms of gambling long since. Winning streaks are difficult to achieve without the right knowledge and tools which makes the betting aspect of this game intimidating. This system predicts the horse with the highest chance of winning under certain circumstances using machine learning technology. For this model, 6348 races and 79,447 horse records were considered where a race had 14 horses each. This prevents the better from losing money to the immoral traps set by the bookie or the organization or due to his/her lack of knowledge and placing informed bets.