Essays about: "logistisk regression"

Showing result 21 - 25 of 156 essays containing the words logistisk regression.

1. 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 rymdteknik

   Author : Alexander Wirdemo; [2023]
   Keywords : Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

   Abstract : 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

3. 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 statistik

   Author : Amanda Rudälv; [2023]
   Keywords : Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

   Abstract : 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

4. 23. Credit Scoring Based on Behavioural Data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Daniel Bouvin; Erik Hamberg; [2022]
   Keywords : Banking; Behavior; Behaviour; Credit Modelling; Klarna; Logistic Regression; Machine Learning; Neural Networks; Random Forests; XGBoost;

   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

5. 24. Predicting the outcome of IVF treatments using forward selection regression and linear discriminant analysis

   University essay from Lunds universitet/Matematisk statistik

   Author : Agnes Ekman; Linnéa Fahlberg; [2022]
   Keywords : Mathematics and Statistics;

   Abstract : 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

6. 25. A comparison of machine learning algorithms in their ability to predict pancreatic cancer

   University essay from KTH/Datavetenskap

   Author : Arvid Eriksson; Jonathan Erikson; [2022]
   Keywords : ;

   Abstract : 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