Essays about: "Logistisk Regression"
Showing result 31 - 35 of 156 essays containing the words Logistisk Regression.
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31. Customer acquisition and onboarding at an online grocery company
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The master thesis is carried out in a collaboration with a Swedish online grocery company. The goal of the thesis is to investigate if it is possible to explain the underlying factors that affect new customers to be retained. READ MORE
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32. Age Prediction in Breast Cancer Risk Stratification : Additive Value of Age Prediction on Healthy Mammography Images in Breast Cancer Risk Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Breast cancer is the most common cancer type for women worldwide. Early detection is key to improve prognosis and treatment success. A cost-efficient way of finding breast cancer early is mammography screening on a population basis. A major issue with mammography screening is in-between screening cancers. READ MORE
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33. A survival analysis on endurance tests of chainsaws and power cutter components at Husqvarna Group AB
University essay from Lunds universitet/Matematisk statistikAbstract : Due to the steadily growing world chainsaw market and the market’s relative competitiveness, high performing chainsaws are important for Husqvarna Group AB to remain competitive. In the development phase a large number of endurance tests are run to evaluate the product’s performance. READ MORE
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34. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data
University essay from KTH/Matematisk statistikAbstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE
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35. Sequential Deep Learning Models for Neonatal Sepsis Detection : A suitability assessment of deep learning models for event detection in physiological data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sepsis is a life-threatening condition that neonatal patients are especially susceptible to. Fortunately, improved bedside monitoring has enabled the collection and use of continuous vital signs data for the purpose of detecting conditions such as sepsis. READ MORE