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How are graph based features used in horse racing?
This thesis presents an applied horse racing prediction using graph-based features on a set of horse races data. We used arti\fcial neural network and logistic regression models to train then test to prediction without graph-based features and with graph-based features.
What do racing insiders say about a horse?
Racing insiders stand by and orate their observations of each horse to a respective betting syndicate. RaceQuant had contracted an SME to take note of specific features, and One Hot Encoded the observations. These observations can include subjective takes like ‘confident’ or ‘nervous,’ and seemingly span the entire English vocabulary.
What are the obstacles to predicting horse racing?
An obstacle was the nature of the data, more specifically, that the models lacked the ability to identify the ‘race-by-race’ nature of the data. This meant each horse would effectively be racing against all of the horses in the dataset, including itself if there were > 1 observations.
What makes horse racing different from other sports?
Thoroughbred horse racing is a sport full of beauty, thrill, and danger. Each horse is different, they are built different, they have different attitudes and they have different trainers. The sport of horse racing is where you see the unbridled speed and agility of the thoroughbreds.
Last Update: Oct 2021
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