Skip to content

GitLab

  • Menu
Projects Groups Snippets
    • Loading...
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
  • Sign in / Register
  • F FEDOT
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 87
    • Issues 87
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 1
    • Merge requests 1
  • CI/CD
    • CI/CD
    • Pipelines
    • Jobs
    • Schedules
  • Deployments
    • Deployments
    • Environments
    • Releases
  • Monitor
    • Monitor
    • Incidents
  • Packages & Registries
    • Packages & Registries
    • Package Registry
    • Container Registry
    • Infrastructure Registry
  • Analytics
    • Analytics
    • Value stream
    • CI/CD
    • Repository
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
Collapse sidebar
  • ITMO-NSS-team
  • FEDOT
  • Issues
  • #826

Closed
Open
Created Aug 19, 2022 by Elizaveta Lutsenko@LizLutsenkoOwner

Experiment to determine what is better: composing or tuning?

Created by: valer1435

Draft of experiment (may be extended)

  1. Select 5 datasets for classification/regression/time-series-forecasting
  2. For each dataset run such experiment 2.1) Run FEDOT for hour with set of parameters: [0% time for tuning, 25% time for tuning, 50% time for tuning, 75% time for tuning, 100% for tuning (use only initial assumptions)] 2.2) Run it 10-20 times for stability of results 2.3) Save and plot results (time for composing and tuning, metrics)
Assignee
Assign to
Time tracking