Forecasting personal heat strain under extremely hot environments: Utilizing feature importance in machine learning.
Seungwon SeoYujin ChoiChoongwan KooPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- feature importance
- machine learning
- random forest
- feature selection
- decision trees
- data mining
- semi supervised
- relevance feedback
- short term
- dynamic environments
- learning algorithm
- forecasting model
- supervised learning
- support vector regression
- machine learning methods
- heat flow
- physical objects
- personal information
- active learning
- text mining
- information extraction
- support vector machine
- prediction model
- similarity measure
- long term
- knowledge discovery
- genetic algorithm