Essays about: "XGBoost"

Showing result 1 - 5 of 48 essays containing the word XGBoost.

  1. 1. Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning

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

    Author : Anton Falk; Daniel Holmgren; [2021]
    Keywords : machine learning; statistical learning; statistics; random forest; xgboost; sarima; stacking; support vector regression; svr; linear regression; sales; sales forcasting; forecasting; time series;

    Abstract : Today, digitalization is a key factor for businesses to enhance growth and gain advantages and insight in their operations. Both in planning operations and understanding customers the digitalization processes today have key roles, and companies are spending more and more resources in this fields to gain critical insights and enhance growth. READ MORE

  2. 2. Evaluation of Methods for Image Analysis with the Purpose of Imitating Subjective Quality Assessment

    University essay from Linköpings universitet/Medie- och InformationsteknikLinköpings universitet/Tekniska fakulteten; Linköpings universitet/Medie- och InformationsteknikLinköpings universitet/Tekniska fakulteten

    Author : Felix Grönborg; Otto Ortega; [2021]
    Keywords : ;

    Abstract : Detta examensarbete gjordes i samarbete med Husfoto AB där syftet var att undersöka potentialen i att använda maskininlärniningsalgoritmer för att utföra automatiska klassificeringar mellan godkända och icke-godkända bilder enligt en subjektivt framställd kvalitetsstandard. Både metoder som använder maskininlärning, samt mer traditionella bildanalysmetoder användes, testades och jämfördes inom kvalitetsmåtten precision, känslighet, träffsäkerhet och balanserad träffsäkerhet. READ MORE

  3. 3. Predicting the Movement Direction of OMXS30 Stock Index Using XGBoost and Sentiment Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Podasca Elena; [2021]
    Keywords : Machine learning; XGBoost; Sentiment analysis; Stock market prediction; OMXS30;

    Abstract : Background. Stock market prediction is an active yet challenging research area. A lot of effort has been put in by both academia and practitioners to produce accurate stock market predictions models, in the attempt to maximize investment objectives. Tree-based ensemble machine learning methods such as XGBoost have proven successful in practice. READ MORE

  4. 4. Predicting Multimodal Rehabilitation Outcomes using Machine Learning

    University essay from Uppsala universitet/Institutionen för informatik och media; Uppsala universitet/Institutionen för informatik och media

    Author : Alexandru Cheltuitor; Niklas Jones-Quartey; [2020]
    Keywords : Machine learning; XGBoost; regression; Multimodal Rehabilitation; SQRP; chronic pain; treatment outcome; prediction;

    Abstract : Chronic pain is a complex health issue and a major cause of disability worldwide. Although multimodal rehabilitation (MMR) has been recognized as an effective form of treatment for chronic pain, some patients do not benefit from it. READ MORE

  5. 5. Research on a Heart Disease Prediction Model Based on the Stacking Principle

    University essay from Högskolan Dalarna/Informatik

    Author : Jianeng Li; [2020]
    Keywords : Heart disease; prediction model; Stacking fusion model; ensemble learning; model interpretability;

    Abstract : In this study, the prediction model based on the Stacking principle is called the Stacking fusion model. Little evidence demonstrates that the Stacking fusion model possesses better prediction performance in the field of heart disease diagnosis than other classification models. READ MORE