Essays about: "Random Forests"
Showing result 21 - 25 of 141 essays containing the words Random Forests.
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21. Wind power forecasting using random forests
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : The present thesis investigated using the random forest machine learning algorithm for wind power forecasting. Meteorological prognoses for wind speed, wind direction, gust winds, and humidity were used. For historical data, wind minimum and temperature was also included. READ MORE
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22. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. READ MORE
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23. Beyond the Bubbles : a Study of Fungal Diversity and Gushing in Beer Production
University essay from SLU/Dept. of Forest Mycology and Plant PathologyAbstract : Gushing, violent and spontaneous over-foaming of beer, is a well-known quality reducing phenomenon encountered in the brewing industry. The present study investigated the impact of fungal contamination in barley grains, specifically focusing on gushing and the occurrence of pink kernels. READ MORE
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24. Benchmarking Machine Learning Methods for Peptide Activity Predictions
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : One of the main challenges in the drug discovery process is to find a suitable compound for further analysis. The compound must affect the target relevant for the specific disease, while at the same time have desired properties to make it a safe and efficient drug candidate. READ MORE
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25. Predicting the size of a company winning a procurement: an evaluation study of three classification models
University essay from Uppsala universitet/Statistiska institutionenAbstract : In this thesis, the performance of the classification methods Linear Discriminant Analysis (LDA), Random Forests (RF), and Support Vector Machines (SVM) are compared using procurement data to predict what size company will win a procurement. This is useful information for companies, since bidding on a procurement takes time and resources, which they can save if they know their chances of winning are low. READ MORE