Essays about: "eXtreme Gradient Boosting"

Showing result 1 - 5 of 32 essays containing the words eXtreme Gradient Boosting.

  1. 1. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

  3. 2. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Stina Backerholm; Malin Börjesjö; [2023]
    Keywords : Multi-Class Classification; Imbalanced Data; Machine Learning; Multi-Klass Klassifisering; Obalanserat Data; Maskininlärning;

    Abstract : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. READ MORE

  4. 3. Machine Learning of Laser Ultrasonic Data to Predict Material Properties

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Filip Tuvenvall; [2023]
    Keywords : Machine Learning; Laser Ultrasonics; Material Properties; Steel; Hardness of Steel;

    Abstract : 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. READ MORE

  5. 4. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Levi Jan Zuiverloon; [2023]
    Keywords : Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

    Abstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE

  6. 5. Predicting Short-term Absences of a Railway Crew using Historical Data

    University essay from KTH/Matematisk statistik

    Author : Agnes Björnfot; Sandra Fjelkestam; [2023]
    Keywords : statistics; machine learning; absence prediction; random forest; XGBoost; quantile regression; statistik; maskininlärning; frånvaroprognoser; random forest; XGBoost; kvantilregression;

    Abstract : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. READ MORE