Sökning: "Variabelsignifikans"

Hittade 2 uppsatser innehållade ordet Variabelsignifikans.

1. 1. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Amanda Rudälv; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 2. Predicting Default Probability in Credit Risk using Machine Learning Algorithms

   Master-uppsats, KTH/Matematisk statistik

   Författare :Sarah Kornfeld; [2020]
   Nyckelord :Credit risk; default probability; machine learning; logsitic regression; basel framework; Kreditrisk; fallissemangssannolikhet; maskininlärning; logistisk regression; baselregelverk;

   Sammanfattning : This thesis has explored the field of internally developed models for measuring the probability of default (PD) in credit risk. As regulators put restrictions on modelling practices and inhibit the advance of risk measurement, the fields of data science and machine learning are advancing. LÄS MER