Regression GradientBoosting
6.0

Visit source Download RO-Crate Run on Galaxy
Workflow Type: Galaxy

Machine learning: classification and regression

Associated Tutorial

This workflows is part of the tutorial Regression GradientBoosting, available in the GTN

Features

Thanks to...

Tutorial Author(s): Anup Kumar, Bérénice Batut

gtn star logo followed by the word workflows

SEEK ID: https://dev.workflowhub.eu/workflows/1288?version=1

Inputs

ID Name Description Type
body_fat_test #main/body_fat_test n/a
  • File
body_fat_test_labels #main/body_fat_test_labels n/a
  • File
body_fat_train #main/body_fat_train n/a
  • File

Steps

ID Name Description
3 Ensemble methods toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_ensemble/sklearn_ensemble/1.0.8.1
4 Ensemble methods toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_ensemble/sklearn_ensemble/1.0.8.1
5 Plot actual vs predicted curves and residual plots toolshed.g2.bx.psu.edu/repos/bgruening/plotly_regression_performance_plots/plotly_regression_performance_plots/0.1

Outputs

ID Name Description Type
_anonymous_output_4 #main/_anonymous_output_4 n/a
  • File
output_actual_vs_pred #main/output_actual_vs_pred n/a
  • File
output_residual_plot #main/output_residual_plot n/a
  • File
output_scatter_plot #main/output_scatter_plot n/a
  • File

Version History

6.0 (earliest) Created 25th Jun 2024 at 11:20 by Helena Rasche

Added/updated 4 files


Open master 90aabf2
help Creators and Submitter
Creators
Not specified
Submitter
Discussion Channel
GTN Matrix
Tool
scikit-learn
License
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Activity

Views: 984   Downloads: 305   Runs: 0

Created: 25th Jun 2024 at 11:19

Last updated: 25th Jun 2024 at 11:20

help Attributions

None

Total size: 63.8 KB
Powered by
 (v.1.17.3)
About Dev WorkflowHub | Acknowledgements | Credits | Terms & Conditions | Privacy Policy
Copyright © 2008 - 2026 The University of Manchester and HITS gGmbH