Comparison of supervised machine learning models forpredicting TV-ratings
Abstract Manual prediction of TV-ratings to use for program and advertisement placement can be costly if they are wrong, as well as time-consuming. This thesis evaluates different supervised machine learning models to see if the process of predicting TV-ratings can be automated with better accuracy...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Hälsoinformatik och logistik
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278054 |