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Given the well-expressed seasonality in the simulated Chl-a dynamics, separate regression trees were developed for months from May to September.
Separate regression trees were grown for each city, with partitioning based on Day-Type in a model with control for confounding.
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The occurrence database was then used to train separate boosted regression tree species distribution models (Elith et al., 2008) to predict the likely distribution of each of these suspected reservoir species.
Two separate regression RFs with 700 trees and two variables tried at each split were performed using the package randomForest version 4.6-7 [ 60] in the software program R [ 61].
The models evaluated were linear regression, regression trees and ordinary and regression kriging.
Each entry comes from a separate regression.
Each column comes from a separate regression.
A comparison between multiple linear regression and regression trees showed that the tree model yielded the best results.
The following regression techniques are tested: artificial neural networks, regression trees and Random Forest.
Each estimate is obtained from a separate regression.
A separate regression is run for each product category i.
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