Essays about: "XGBoost"

Showing result 6 - 10 of 137 essays containing the word XGBoost.

  1. 6. ASSESSING PREDICTION CONDITIONS ANDSEQUENTIAL CLASSIFICATION IN ICU SEPSISPREDICTION

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Petter Lind; [2023]
    Keywords : Sepsis Prediction; Sequential Prediction; Conditional Predictions; XGBoost;

    Abstract : Patients admitted to intensive care units (ICUs) often have a higher risk of sepsis due to weakened immune systems. Early sepsis diagnosis is crucial for timely treatment, emphasizing the need to improve the predictive capabilities of sepsis prediction models. READ MORE

  3. 7. Monthly heatwave prediction in Sweden based on Machine Learning techniques with remote sensing data

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Zhuoran Li; [2023]
    Keywords : Heatwave Prediction; Sweden; Machine Learning; Remote Sensing Data; Värmebölja förutsägelse; Sverige; Maskininlärning; Fjärravkänningsdata;

    Abstract : Heatwave events as a kind of extreme climate event, have plagued the human race for the past few years. It severely influences people’s life quality, sometimes even leads to some serious diseases. In order to alleviate the possible damages heatwave events can do, some targeted actions are necessary and forecasting heatwaves is one of them. READ MORE

  4. 8. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach

    University essay from Umeå universitet/Institutionen för fysik

    Author : Emelie Sjökvist; [2023]
    Keywords : ;

    Abstract : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. READ MORE

  5. 9. Can Machine Be a Good Stock Picker?: Bridging the Gap between Fundamental Data and Machine Learning

    University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Author : Tomoya Narita; Povilas Stankevicius; [2023]
    Keywords : Machine Learning; XGBoost; Relative Valuation; Convergence Trade;

    Abstract : We investigate the efficacy of historical accounting data and consensus forecasts for relative valuation of stocks, employing tree-based machine learning methods. We run an XGBoost model for monthly cross-sections of financial and pricing data of US equities from 1984 to 2021. READ MORE

  6. 10. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Oscar Wastesson; [2023]
    Keywords : Machine learning; decision trees; sepsis; classification;

    Abstract : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. READ MORE