Sökning: "Logistic Model Tree"

Visar resultat 1 - 5 av 42 uppsatser innehållade orden Logistic Model Tree.

  1. 1. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

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

    Författare :Tobias Andersson; Mattias Mentes; [2023]
    Nyckelord :Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

    Sammanfattning : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. LÄS MER

  3. 2. Building Predictive Models for Stock Market Performance : En studie om maskininlärning och deras prestanda

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Gabriel Wennmark; Felix Lindgren; [2023]
    Nyckelord :machine learning; classification; stock market; OMXSPI; support vector machine; logistic regression; decision tree; prediction model; maskininlärning; klassifikation; aktiemarknad; OMXSPI; support vector machine; logistisk regression; beslutsträd; prediktionsmodell;

    Sammanfattning : Today it is important for investors to identify which stocks that will result in positive returns in order for the right decision to be made when trading on the stock market. For decades it has been an area of interest for academics, and it is still challenging due to many difficulties and problems. LÄS MER

  4. 3. Effectivisation of keywords extraction process : A supervised binary classification approach of scraped words from company websites

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

    Författare :Josef Andersson; Max Fremling; [2023]
    Nyckelord :Machine learning; keyword classification; unbalanced data; word embedding;

    Sammanfattning : In today’s digital era, establishing an online presence and maintaining a well-structured website is vitalfor companies to remain competitive in their respective markets. A crucial aspect of online success liesin strategically selecting the right words to optimize customer engagement and search engine visibility. LÄS MER

  5. 4. Fault Detection in PV System using Machine Learning Technique

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Adhyapadi Apoorva Bhat; Jomin Koothenparambil Joy; [2023]
    Nyckelord :Machine learning; Fault Detection; Cluster; Regression model; PV System; Prediction; Solar Power; Renewable Energy;

    Sammanfattning : With the steady and rapid reliance on solar power as a viable alternative to traditional fuel-based energy, maintenance of solar panels is becoming an unavoidable issue for both producers and consumers. Machine learning techniques are useful in detecting solar panel faults and their life span. LÄS MER

  7. 5. Exploring the Importance of Women's Educational Attainment in HIV Risk Prediction : A Comparative Study of Logistic Regression, Random Forest and XGBoost

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Towe Wallkulle; [2023]
    Nyckelord :;

    Sammanfattning : Due to extensive HIV testing and treatment programs, the rate of new HIV infections has declined in recent years. However, young women South of the Sahara continue to be disproportionately burdened by the epidemic. The aim of this thesis is to explore the complex association between women's educational attainment and HIV prevalence. LÄS MER