Sökning: "Ilya Ploshchik"
Hittade 1 uppsats innehållade orden Ilya Ploshchik.
1. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble LearningKandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)
Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER