Random Forest Classifier executed in 3 nodes, 1 master and 2 workers, with a generated dataset, using 1 Million rows x 100 features
Version 1

Workflow Type: COMPSs

Name: Random Forest Contact Person: support-compss@bsc.es
Access Level: public
License Agreement: Apache2
Platform: COMPSs
Machine: MareNostrum4
This is an example of Random Forest algorithm from dislib. To show the usage, the code generates a synthetical input matrix. The results are printed by screen. This application used dislib-0.9.0

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Version 1 (earliest) Created 14th Feb 2024 at 14:05 by Fernando Vázquez-Novoa

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  • Fernando Vázquez-Novoa
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Vázquez-Novoa, F. (2024). Random Forest executed in 3 worker nodes, with a generated dataset, using 1 Million rows x 100 features. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.748.1
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Views: 694   Downloads: 153

Created: 14th Feb 2024 at 14:05

Last updated: 9th Aug 2024 at 08:14

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