Essays about: "Jakob Kristiansson"

Found 3 essays containing the words Jakob Kristiansson.

  1. 1. Double Machine Learning for Insurance Price Optimization

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Jakob Kristiansson; [2023]
    Keywords : DML; Double Machine Learning; Price Optimization; Insurance Pricing; DML; Dubbel Maskininlärning; Prisoptimering; Försäkringsprissättning;

    Abstract : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. READ MORE

  3. 2. The Impact of Good Navigation and Trust in E-commerce : The importance of navigation and trustworthiness when creating a web application for selling emission allowances

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Lovisa Andreasson; Agnes Asp; Eric Gustafsson; Edvin Halling; Johan Kristiansson; Axel Lindhe; Anton Nordin; Jakob Normell; Gabriel Spjuth; [2022]
    Keywords : Navigability; trustworthiness; usability; design;

    Abstract : The purpose of this report was to study how the design of a web application can induce trust and navigability. To study this, a web application was created where the private consumer can buy a part of an emission allowance, tailored to the consumers’ specific needs. READ MORE

  4. 3. Comparison of Logistic Regression and an Explained Random Forest in the Domain of Creditworthiness Assessment

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

    Author : Marcus Ankaräng; Jakob Kristiansson; [2021]
    Keywords : Classification; Creditworthiness; Explainable Artificial Intelligence; Logistic Regression; Machine Learning; Random Forest; SHAP; XAI;

    Abstract : As the use of AI in society is developing, the requirement of explainable algorithms has increased. A challenge with many modern machine learning algorithms is that they, due to their often complex structures, lack the ability to produce human-interpretable explanations. READ MORE