Sökning: "Logistic regression model"

Visar resultat 1 - 5 av 337 uppsatser innehållade orden Logistic regression model.

  1. 1. Predicting hotel cancellations using machine learning

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Enok Gartvall; Oscar Skånhagen; [2022-02-18]
    Nyckelord :;

    Sammanfattning : Room cancellations is a big challenge for the hotel industry since the number of guest affects the whole operational setup. The purpose of the thesis is to predict hotel cancella-tions using machine learning and analyse which factors have the most influence. LÄS MER

  2. 2. Enforced Kumbaya

    Kandidat-uppsats, Lunds universitet/Statsvetenskapliga institutionen

    Författare :Zakarias Dahlberg; [2022]
    Nyckelord :United Nations; peacekeeping; local; peace agreements; panel data regressions; Law and Political Science;

    Sammanfattning : This paper looks at whether an implementation of a UN operation in a civil conflict effects the signing of local peace agreements. It is limited to the Africa and Middle East regions. The theory applied, and tested, is the Liberal Peace Theory. To test the question a new dataset is constructed by merging disparate datasets and data into one. LÄS MER

  3. 3. Predicting misuse of subscription tranquilizers : A comparasion of regularized logistic regression, Adaptive Bossting and support vector machines

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ida Norén; [2022]
    Nyckelord :Adaptive Boosting; Benzodiazepines; classification; lasso regularization; logistic regression; support vector machines;

    Sammanfattning : Tranquilizer misuse is a behavior associated with substance use disorder. As of now there is only one published article that includes a predictive model on misuse of subscription tranquilizers. LÄS MER

  4. 4. From a pandemic to a financial crisis?

    Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Lykke Nyberg; Alexandra Stertman; [2022]
    Nyckelord :Financial crises; Regression analysis; Covid-19 pandemic; Logistic regression model; Swedish economy; Business and Economics;

    Sammanfattning : The main objective of this study is to create a model that can predict the probability of a financial crisis and apply it to the Swedish economy of today. Using a logistical regression model, a quantitative study is conducted by investigating a cross-sectional data set covering 18 countries stretching over approximately 150 years. LÄS MER

  5. 5. Credit risk modelling and prediction: Logistic regression versus machine learning boosting algorithms

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Linnéa Machado; David Holmer; [2022]
    Nyckelord :Machine learning; Credit risk; Logistic regression; Decision trees;

    Sammanfattning : The use of machine learning methods in credit risk modelling has been proven to yield good results in terms of increasing the accuracy of the risk score as- signed to customers. In this thesis, the aim is to examine the performance of the machine learning boosting algorithms XGBoost and CatBoost, with logis- tic regression as a benchmark model, in terms of assessing credit risk. LÄS MER