Sökning: "multiple regression models"

Visar resultat 6 - 10 av 318 uppsatser innehållade orden multiple regression models.

1. 6. Initial Development and Validation of Language-Based Assessments for Meaningful Change

   Kandidat-uppsats, Lunds universitet/Institutionen för psykologi

   Författare :Ulrika Söderström; [2024]
   Nyckelord :meaningful change; depression; Large Language Models; AI; Social Sciences;

   Sammanfattning : Meaningful change has been discussed in multiple studies, with the recurring question of how it could be conceptualized and assessed to identify what determines meaningful change and where it occurs. Previous studies have conducted statistical analyses based on traditional rating scales (i.e., the PHQ-9) to assess meaningful change. LÄS MER

3. 7. Predicting Counter-Strike Matches using Machine Learning Models

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Erik Broms; William Nordansjö; [2024]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER

4. 8. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

5. 9. Aktiemarknadsprognoser: En jämförande studie av LSTM- och SVR-modeller med olika dataset och epoker

   Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Mads Nørklit Johansen; Jagtej Sidhu; [2023]
   Nyckelord :Stock Market Prediction; Long-Short Term Memory; Support Vector Regression; Prediction Accuracy; Financial Investments;

   Sammanfattning : Predicting stock market trends is a complex task due to the inherent volatility and unpredictability of financial markets. Nevertheless, accurate forecasts are of critical importance to investors, financial analysts, and stakeholders, as they directly inform decision-making processes and risk management strategies associated with financial investments. LÄS MER

7. 10. Developing Extensions to the Walker-Unger Model in Consideration of the Panama Papers Leaks

   Kandidat-uppsats,

   Författare :Algot Delory; Tadas Matusevicius; [2023]
   Nyckelord :Money Laundering; Tax Haven; Panama Papers; Source and Host Countries; Walker-Unger Model;

   Sammanfattning : In 2016, the ICIJ independent organization released the leaks of the Panama Papers. Using the data presented, this thesis aims to evaluate and examine the models developed for the quantification of money laundering, analyze the variables that define the appeal of certain tax havens, and develop extensions to the Walker-Unger model. LÄS MER