Essays about: "logistisk regression"

Showing result 11 - 15 of 156 essays containing the words logistisk regression.

  1. 11. Clustering and classification of prepaid mortgages

    University essay from KTH/Matematik (Avd.)

    Author : Jakob Atli Thorsteinsson; [2023]
    Keywords : Clustering; Classification; Klustring; Klassificering;

    Abstract : This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. READ MORE

  3. 12. Explainable Machine Learning in Cardiovascular Diagnostics

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

    Author : Alexander Gutell; Ludvig Skare; [2023]
    Keywords : ;

    Abstract : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. READ MORE

  4. 13. ML enhanced interpretation of failed test result

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

    Author : Hiranmayi Pechetti; [2023]
    Keywords : Data Parsing; Machine Learning; Log file Analysis; Text Classification; Supervised Classification; Dataanalys; maskininlärning; loggfilsanalys; textklassificering; Övervakad klassificering;

    Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE

  5. 14. The Predictive Power of Implied Volatility in Option Pricing

    University essay from KTH/Matematisk statistik

    Author : Lovisa Berglund; [2023]
    Keywords : Option Pricing; Black-Scholes; Finance; Implied Volatility; Applied Mathematics; Machine Learning; Optionsprissättning; Black-Scholes; Finans; Implicit Volatilitet; Tillämpad Matematik; Maskininlärning;

    Abstract : During the last few years, financial derivatives have been growing in trading volume. There seem to be a high demand and supply of derivatives on the market and one common derivative is the option contract. The option contract is frequently the subject of studies and many different pricing models have been created for options. READ MORE

  6. 15. Applying the Shadow Rating Approach: A Practical Review

    University essay from KTH/Matematik (Avd.)

    Author : Viktor Barry; Carl Stenfelt; [2023]
    Keywords : Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

    Abstract : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. READ MORE