Essays about: "XGBoost"

Showing result 1 - 5 of 44 essays containing the word XGBoost.

  1. 1. 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

  2. 2. 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

  3. 3. Modelling default probabilities: The classical vs. machine learning approach

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Filip Jovanovic; Paul Singh; [2020]
    Keywords : Machine learning; gradient boosting; pd-modelling; CatBoost; Random Forest; Logistic Regression; Maskininlärning; gradient boosting; fallissemangmodellering; CatBoost; Random Forest; Logistisk Regression;

    Abstract : Fintech companies that offer Buy Now, Pay Later products are heavily dependent on accurate default probability models. This is since the fintech companies bear the risk of customers not fulfilling their obligations. READ MORE

  4. 4. Using Ensemble Machine Learning Methods in Estimating Software Development Effort

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Alekhya Kanneganti; [2020]
    Keywords : Software Development Effort; Ensemble; Ensemble Learning; Stacking Ensemble; Software Development Effort Estimation; Machine Learning; Estimation of Software Development Effort; Effort Estimation;

    Abstract : Background: Software Development Effort Estimation is a process that focuses on estimating the required effort to develop a software project with a minimal budget. Estimating effort includes interpretation of required manpower, resources, time and schedule. Project managers are responsible for estimating the required effort. READ MORE

  5. 5. Predicting profitability of new customers using gradient boosting tree models : Evaluating the predictive capabilities of the XGBoost, LightGBM and CatBoost algorithms

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Mathias Kinnander; [2020]
    Keywords : Gradient tree boosting; XGBoost; LightGBM; CatBoost; prediction; profitability; online retail;

    Abstract : In the context of providing credit online to customers in retail shops, the provider must perform risk assessments quickly and often based on scarce historical data. This can be achieved by automating the process with Machine Learning algorithms. READ MORE