Sökning: "SHAP"

Visar resultat 1 - 5 av 48 uppsatser innehållade ordet SHAP.

  1. 1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Zeyuan Wu; [2024]
    Nyckelord :Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Sammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER

  3. 2. Develop A Predictive Model & Analyze The Impact On Common Memory Usage In A 5G Radio Unit

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Vijit Sai Tagirisa; [2024]
    Nyckelord :Common Memory; EMCA; Machine Learning; 5G; SHAP;

    Sammanfattning : .... LÄS MER

  4. 3. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Robert Iain Salter; [2023]
    Nyckelord :Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

    Sammanfattning : 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

  5. 4. Real-time Energy Performance Tracking

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Huu Thien Nguyen; [2023]
    Nyckelord :;

    Sammanfattning : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. LÄS MER

  7. 5. Increasing explainability of neural network based retail credit risk models

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Anton Evilevitch; [2023]
    Nyckelord :Explainability; Artificial Neural Network; Mortgage Credit Risk Modeling; Förklarbarhet; Artificiella Neurala Nätverk; Modellering av Hypotekskreditrisk;

    Sammanfattning : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. LÄS MER