Essays about: "Boosted Regression Trees"

Showing result 1 - 5 of 21 essays containing the words Boosted Regression Trees.

  1. 1. Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Daniel Ringwald; Daniel Larsson; [2023]
    Keywords : Machine learning; energy modelling; radio base station; 5G; neural network; gradient boosted trees; Technology and Engineering;

    Abstract : With an ongoing energy crisis in Europe and an ever-evolving political climate where the environmental impacts of industries are regarded as a top priority, the topic of energy efficiency is high on everyone’s agenda. Mathematical optimization of energy consumption requires a model of the problem at hand. READ MORE

  3. 2. Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Author : Vincent Ball; Thomas Pegoraro; [2023]
    Keywords : Energy Market; Energy Prices; Renewable Energy; Machine Learning; Business and Economics;

    Abstract : This paper investigates the best methods for modeling hourly profiles in the German energy market for the period between 2018 and 2022. Modeling emphasized variable renewable energy (VRE) and included information on the level of energy production, oil price, COVID lockdowns, and historic hourly energy spot prices. READ MORE

  4. 3. Modelling Airbnb Prices in the Maltese Islands

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Author : Gabriella Camilleri; [2023]
    Keywords : Airbnb; Maltese Islands; Machine Learning; Geospatial Data; Transfer; Business and Economics;

    Abstract : The digital platform Airbnb has gained popularity in a number of countries particu- larly in the Maltese islands. Striking a balance in setting a price that is competitive and also renders a good profit can be a challenge. READ MORE

  5. 4. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Isac Lorentz; [2023]
    Keywords : Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Abstract : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. READ MORE

  6. 5. Credit Scoring Based on Behavioural Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Bouvin; Erik Hamberg; [2022]
    Keywords : Banking; Behavior; Behaviour; Credit Modelling; Klarna; Logistic Regression; Machine Learning; Neural Networks; Random Forests; XGBoost;

    Abstract : Credit modelling has traditionally been done by credit institutes based on financial data about the individuals requesting the credit. While this has been sufficient in lowering risk in developed economies with plenty of financial data it is inefficient in developing economies and fails to reach the unbanked population. READ MORE