Sökning: "cross-validation"

Visar resultat 6 - 10 av 252 uppsatser innehållade ordet cross-validation.

  1. 6. Regression and time estimation in the manufacturing industry

    Kandidat-uppsats, Uppsala universitet/Statistik, AI och data science

    Författare :Walter Bjernulf; [2023]
    Nyckelord :regression; linear regression; regression trees; random forests; cross validation; variable selection; conformal prediction;

    Sammanfattning : In this thesis an analysis is performed on operation times for different sized products in a manufacturing company. The thesis will introduce and summarise most of the theory needed to perform regression and also cover a worked example where three different regression models are learned, evaluated and analysed. LÄS MER

  2. 7. Predicting heart failure emergency readmissions

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

    Författare :Paromita Sur; Alexander Stenberg; [2023]
    Nyckelord :Machine Learning; Patient readmission; Heart Failure; Electronic Health Records;

    Sammanfattning : Recent progress in treatment interventions has resulted in increased survival rates and longevity for diagnosed heart failure patients. However, heart failure still remains one of the leading causes of rehospitalization worldwide, where emergency readmissions continue to be a common occurrence. LÄS MER

  3. 8. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER

  4. 9. Robustness Against Non-Normality : Evaluating LDA and QDA in Simulated Settings Using Multivariate Non-Normal Distributions

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Gånheim Viktor; Åslund Isak; [2023]
    Nyckelord :Classification; Linear Discriminant Analysis; Quadratic Discriminant Analysis; Normality Assumption;

    Sammanfattning : Evaluating classifiers in controlled settings is essential for empirical applications, as extensive knowledge on model-behaviour is needed for accurate predictions. This thesis investigates robustness against non-normality of two prominent classifiers, LDA and QDA. LÄS MER

  5. 10. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Sebastian Vogel Hauger; Logi Örn Axel Ingvarsson; [2023]
    Nyckelord :;

    Sammanfattning : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. LÄS MER