Applying Machine Learning Methods to Predict the Outcome of Shots in Football

Applying Machine Learning Methods to Predict the Outcome of Shots in Football

The thesis investigates a publicly available dataset which covers morethan three million events in football matches. The aim of the study isto train machine learning models capable of modeling the relationshipbetween a shot event and its outcome. That is, to predict if a footballshot will result in...

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Bibliographic Details
Main Author: Hedar, Sara
Format: Others
Language:English
Published: Uppsala universitet, Avdelningen för systemteknik 2020
Subjects:
machine learning
neural networks
rnn
cnn
logistic regression
lstm
mlp
binary classification
imbalanced learning
football
football shots
shot predictions
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414774

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414774

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