Essays about: "Logistisk Regression"
Showing result 21 - 25 of 156 essays containing the words Logistisk Regression.
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21. 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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22. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE
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23. Credit Scoring Based on Behavioural Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Credit modelling has traditionally been done by credit institutes based on financial data about the individuals requesting the credit. While this has been sufficient in lowering risk in developed economies with plenty of financial data it is inefficient in developing economies and fails to reach the unbanked population. READ MORE
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24. Predicting the outcome of IVF treatments using forward selection regression and linear discriminant analysis
University essay from Lunds universitet/Matematisk statistikAbstract : As more and more In Vitro Fertilizaiton (IVF) treatments are performed each year, there is a need to better predict the outcomes of different stages of the treatment and hence get a better understanding of which hormonal and physical parameters affect the treatment outcome and in what way. In this study, the effect of interaction between baseline AMH (anti-mullerian hormone) and DFI (DNA fragmentation index) on the chance of obtaining at least one good quality embryo was investigated, but no significance was found. READ MORE
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25. A comparison of machine learning algorithms in their ability to predict pancreatic cancer
University essay from KTH/DatavetenskapAbstract : Pancreatic cancer is an uncommon but lethal disease which has no obvious biomarkers for its early stages. Machine learning has been used in order to predict the disease with limited success. Survey data has been of special interest due to its great size and accessibility. READ MORE