Essays about: "Logistic Model Tree"

Showing result 1 - 5 of 40 essays containing the words Logistic Model Tree.

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

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

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

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

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

    Abstract : 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. READ MORE

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

    University essay from Högskolan Dalarna/Mikrodataanalys

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

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Towe Wallkulle; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

  6. 5. Multi-scale Bark Beetle Predictions Using Machine Learning

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Albert Øhrman Wellendorf; [2023]
    Keywords : Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

    Abstract : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. READ MORE