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  1. 1. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Joel Norling; Sami Abdu; [2023]
    Nyckelord :Bachelor Thesis; Scorecard modeling; Mathematical Statistics; Logistic Regression; Consumer Credits; Binning; Kandidatuppsats; Scorecard-modellering; Matematisk statistik; Logistisk regression; Konsumentkrediter; Binning;

    Sammanfattning : The development of scorecards for customer credit rating is a well-established field in the financial sector. The aim of this project, conducted in collaboration with a Swedish credit institute, was to develop a statistical model for predicting customer performance. LÄS MER