CAN STATISTICAL MODELS BEAT BENCHMARK PREDICTIONS BASED ON RANKINGS IN TENNIS?
The aim of this thesis is to beat a benchmark prediction of 64.58 percent based on player rankings on the ATP tour in tennis. That means that the player with the best rank in a tennis match is deemed as the winner. Three statistical model are used, logistic regression, random forest and XGBoost. The...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Statistiska institutionen
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447384 |