Sökning: "LASSO"

Visar resultat 11 - 15 av 122 uppsatser innehållade ordet LASSO.

  1. 11. Interpretability and Accuracy in Electricity Price Forecasting : Analysing DNN and LEAR Models in the Nord Pool and EPEX-BE Markets

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

    Författare :Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
    Nyckelord :Deep Neural Network DNN ; Lasso Estimated AutoRegressive LEAR ; Electricity Price Forecasting EPF ; Interpretability; EPEX-BE; Nord Pool.; Deep Neural Network DNN ; Lasso Estimate AutoRegressive LEAR ; elprisprognoser; tolkbarhet; EPEX-BE; Nord Pool.;

    Sammanfattning : Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. LÄS MER

  3. 12. MTG-kortsprissättning: en regressionsanalys för att bestämma nyckelfaktorer för kortpriser

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Adam Michael; [2023]
    Nyckelord :Regression analysis; applied mathematics; MTG; Industrial engineering and management; Lasso regression; Least squares method; Regressionsanalys; Tillämpad matematik; MTG; Industriell Ekonomi; Lasso regression; Minstakvadratmetoden;

    Sammanfattning : Genom att analysera kortegenskaperna hos Magic the Gathering-kort harmodeller tagits fram för att bestämma deras inverkan på kortpriset. Tidigarestudier har inte fokuserat på spel-egenskaperna, vilket är vad som särskiljer dettaarbete från tidigare forskning. LÄS MER

  4. 13. Investigating the Impact of Air Pollution, Meteorology, and Human Mobility on Excess Deaths during COVID-19 in Quito : A Correlation, Regression, Machine Learning, and Granger Causality Analysis

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Waleed Tariq; Sehrish Naqvi; [2023]
    Nyckelord :Granger Causality; Gradient Boosting Machine; Lasso Regression; Excess Deaths; Correlation Analysis; Stationarity;

    Sammanfattning : Air pollution and meteorological conditions impact COVID-19 mortality rates. This research studied Quito, Ecuador, using Granger causality tests and regression models to investigate the relationship between pollutants, meteorological variables, human mobility, and excess deaths. LÄS MER

  5. 14. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionen

    Författare :Sofia Färenmark; [2023]
    Nyckelord :Imbalanced data classification; LASSO; Boruta; SVM; RFC; neural network; decision tree; AUC; AUPRC;

    Sammanfattning : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. LÄS MER

  7. 15. Beating the odds : Machine Learning for football match prediction

    Master-uppsats, Jönköping University/Tekniska Högskolan

    Författare :Emil Christoffersson; [2023]
    Nyckelord :Machine Learning; feature selection; prediction; sports betting; football;

    Sammanfattning : This study aimed to compare the accuracy of machine learning models with the probabilities generatedby sports betting companies in predicting the outcome of football matches. The study also investigatedthe impact of different feature combinations on the performance of machine learning models for predicting football match outcomes. LÄS MER