Essays about: "XGBoost Regression"

Showing result 1 - 5 of 57 essays containing the words XGBoost Regression.

1. 1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

   University essay from Lunds universitet/Matematisk statistik

   Author : Zeyuan Wu; [2024]
   Keywords : Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

   Abstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE

3. 2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

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

   Author : Robert Iain Salter; [2023]
   Keywords : Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

   Abstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE

4. 3. 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. 4. Using Social Media and Personality Predictions to Anticipate Startup Success

   University essay from Lunds universitet/Matematisk statistik

   Author : Daniel Stenson; [2023]
   Keywords : Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

   Abstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE

6. 5. Risk Stratification of Endometriosis through Machine Learning using Lifestyle Data : An Extensive Analysis on Lifestyle Data to Reveal Patterns in People with Endometriosis

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Patrick Carrera Jeri; [2023]
   Keywords : Lifestyle fators; Machine learning; Risk stratification; Endometriosis; Livsstilsfaktorer; Maskininlärning; Riskstratifiering; Endometrios;

   Abstract : Endometriosis affect 11% of women of reproductive years worldwide. The project made use of lifestyle factors coming from the Lucy application. READ MORE