Sökning: "credit scoring"
Visar resultat 1 - 5 av 40 uppsatser innehållade orden credit scoring.
1. The Power of Credit Scoring: Evaluating Machine Learning and Traditional Models in Swedish Retail Banking
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : In this paper, we investigate and compare different credit scoring models, with special attention paid to machine learning approaches outperforming traditional models. We explore a recently proposed method called the PLTR model, which is a combination of machine learning and traditional logistic regression. LÄS MER
2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. LÄS MER
3. A Gradient Boosting Tree Approach for Behavioural Credit Scoring
Master-uppsats, KTH/Matematisk statistikSammanfattning : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. LÄS MER
4. Credit scoring using Logistic regression
Master-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikationSammanfattning : In this thesis, we present the use of logistic regression method to develop a credit scoring modelusing the raw data of 4447 customers of a bank. The data of customers is collected under 14independent explanatory variables and 1 default indicator. The objective of this thesis is toidentify optimal coefficients. LÄS MER
5. Credit Scoring Based on Behavioural Data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER