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Can methods of machine learning be used to betterpredict lactation curves for bovines?
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

A random forest is compared to an OLS model for predicting lactation curves for cows.Both of the methods have been estimated and tested using data from the period 2015-01 to2015-09. Random forests outperform OLS in testing for modeling lactation curves with adecrease in MSE by approximately 26%. Data is provided by Sveriges Lantrbruksuniversitetand includes 75 558 milking events from 320 cows. The date of the milking, the time ofday when the milking occurred as well as which cow was milked were found to be importantvariables for accurate predictions.

Place, publisher, year, edition, pages
2017. , p. 18
Keywords [en]
random forest, lactation curves
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-324439OAI: oai:DiVA.org:uu-324439DiVA, id: diva2:1110081
Subject / course
Statistics
Educational program
Bachelor Programme in Business and Economics
Supervisors
Examiners
Available from: 2017-06-15 Created: 2017-06-15 Last updated: 2017-06-15Bibliographically approved

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fulltext(893 kB)48 downloads
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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • nn-NO
  • nn-NB
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Output format
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