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Effect of hyperparameters on variable selection in random forests

<p>These are data used to generate the results presented in simulation studies conducted in&nbsp;Fouodo et al. 2023.&nbsp;Each dataset is an R object in RDS format with&nbsp;100 lists. For each element of the list,&nbsp;parameters used to generate the data are presented, followed by the simulated data.&nbsp;&nbsp;<a href="https://github.com/imbs-hl/RF-hyperparameters-and-variable-selection">Here</a>&nbsp;is the git repository of the R code used to conduct simulations in the&nbsp;manuscript. The files&nbsp;<a href="https://github.com/imbs-hl/RF-hyperparameters-and-variable-selection/tree/main/R-code/01-scenario1">01-data-only.R</a>&nbsp;and&nbsp;<a href="https://github.com/imbs-hl/RF-hyperparameters-and-variable-selection/tree/main/R-code/02-scenario2">02-data-only.R</a>&nbsp;contain the functions and more details about how the data have been simulated for studies&nbsp;1 and 2.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
August 31, 2023
License
cc-by-4.0
DOI
10.5281/zenodo.8308234

Scored with release 0.9.0

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