Random-Splitting Random Forest with Multiple Mixed-Data Covariates
Background: The bagging (BG) and random forest (RF) are famous supervised statistical learning methods based on classification and regression trees. The BG and RF can deal with different types of responses such as categorical, continuous, etc. There are curves, time series, functional data, or obse...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2023-03-01
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| Series: | Journal of Biostatistics and Epidemiology |
| Subjects: | |
| Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/1071 |