Sökning: "xgboost"
Visar resultat 16 - 20 av 145 uppsatser innehållade ordet xgboost.
16. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapsläraSammanfattning : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. LÄS MER
17. Enhancing House Rental Price Prediction Models for the Swedish Market : Exploring External features, Prediction intervals and Uncertainty Management in Predicting House Rental Prices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Exakt förutsägelse av hyrespriserna för hus är ett avgörande problem i verkligheten fastighetsdomän, vilket underlättar informerat beslutsfattande för både hyresgäster och hyresvärdar. Denna studie presenterar en omfattande utforskning av olika maskininlärningstekniker som tillämpas på en mångsidig datauppsättning av husfunktioner, med det övergripande målet att avslöja den mest effektiva algoritmen för förutsäga hyrespriser. LÄS MER
18. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. LÄS MER
19. Machine Learning of Laser Ultrasonic Data to Predict Material Properties
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : The hardness of steel is an important quality parameter for several industrial applications. Conventional mechanical testing is used in quality testing for material hardness and the method is time-consuming, can cause material mix-ups, and results in material waste. LÄS MER
20. Segmentation and Valuation in Stockholm Housing Market : Spatial Continuous and Discontinuous Submarkets Evaluating by Hedonic Price Model and XGBoost Model
Master-uppsats, KTH/Fastighetsekonomi och finansSammanfattning : The housing market segmentation could provide a reference for more targeted policymaking and investment strategies. Although there have been many studies, there are no consistent submarkets delineating methods because of a lack of theoretical support and subjective evaluation. In this paper, two market segmentation methods are introduced. LÄS MER