Sökning: "XG boost"

Hittade 2 uppsatser innehållade orden XG boost.

1. 1. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Elias Hadad; Angus Wigton; [2023]
   Nyckelord :Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

   Sammanfattning : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. LÄS MER

3. 2. Machine Learning in Electricity Load Forecasting of Prosumer Buildings

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Lu Zhao; [2021]
   Nyckelord :;

   Sammanfattning : Short-term load forecasting plays a key role in energy optimizations such as peaking shaving and cost arbitrage. Forecasting the aggregated load of a city or region has been researched for years and produced accurate results with time lead ranging from an hour to a week. LÄS MER