Essays about: "Decision Tree"
Showing result 11 - 15 of 301 essays containing the words Decision Tree.
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11. The BECCS Doughnut: A strong sustainability framework for assessing implementation strategies for Bioenergy with Carbon Capture and Storage (BECCS)
University essay from Lunds universitet/LUCSUSAbstract : Bioenergy with Carbon Capture and Storage (BECCS) is a largely promoted, but also heavily contested solution to the problem of climate change. Whilst removing carbon from the atmosphere, it potentially leads to detrimental side effects. READ MORE
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12. Optimizing ERP Recommendations Using Machine Learning Techniques
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This study explores the application of a recommendation engine in collaboration with Fortnox. The primary focus of this paper is to find potential improvements for their recommendation engine in terms of accurate recommendation for users. READ MORE
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13. Anomaly Detection for Network Traffic in a Resource Constrained Environment
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Networks connected to the internet are under a constant threat of attacks. To protect against such threats, new techniques utilising already connected hardware have in this thesis been proven to be a viable solution. READ MORE
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14. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS
University essay from Uppsala universitet/Statistiska institutionenAbstract : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. READ MORE
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15. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. READ MORE