Essays about: "evaluation metrics"
Showing result 16 - 20 of 548 essays containing the words evaluation metrics.
-
16. On The Evaluation of District Heating Load Predictions
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : District Heating is a technology with the potential to enable a fossil-free society. However, to realize this potential, some improvements need to be made in order to improve District Heating operation at large, decrease losses in the systems, and thus increase the competitiveness of District Heating as a technology. READ MORE
-
17. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : 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. READ MORE
-
18. Analysis of relatedness and genetic diversity in Swedish sheep breeds using medium density (50K) SNP data
University essay from SLU/Dept. of Animal Breeding and GeneticsAbstract : The local Swedish sheep breeds belong to a group of sheep breeds known as North European short-tailed sheep breeds. Evaluation of genetic diversity, relatedness, and population structure of local breeds offers crucial metrics to prevent inbreeding depression, genetic erosion, and crossbreeding between locally adapted and exotic sheep breeds since these occurrences can have detrimental effects and ultimately lead to extinction. READ MORE
-
19. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE
-
20. ASSESSING PREDICTION CONDITIONS ANDSEQUENTIAL CLASSIFICATION IN ICU SEPSISPREDICTION
University essay from Uppsala universitet/Statistiska institutionenAbstract : Patients admitted to intensive care units (ICUs) often have a higher risk of sepsis due to weakened immune systems. Early sepsis diagnosis is crucial for timely treatment, emphasizing the need to improve the predictive capabilities of sepsis prediction models. READ MORE