MEDomicsLab-docs
V0
V0
  • 👋Welcome!
  • 👊Quick start
  • 👀Overview
  • 🧑‍🏫Tutorials
    • 🔵Design
      • Extraction Module
        • Image Extraction Page
        • Text Extraction Page
        • Time Series Extraction Page
        • MEDimage
      • Input Module
        • Feature Reduction Tool
        • MEDprofiles
          • MEDprofiles Viewer
      • Exploratory Module
    • 🟠Development
      • Learning Module
      • Evaluation Module
      • Federated Learning Module
        • Overview
        • Configure database
        • Create pipelines
        • Pipeline results
        • Hyperparameters optimization
        • Merge results
        • Crash tutorial
    • 🟢Deployment
      • Application Module
    • 🛠️Miscellaneous
  • 📄Testing Phase with MIMIC
    • MIMIC data access
    • Step 1: Install and Explore
    • Step 2: Extract Data
    • Step 3: Prepare ML tables
    • Step 4: Explore Data
    • Step 5: Vacations
    • Step 6: Create Model
    • Step 7: Evaluate & Apply Model
    • Step 8: Challenge
    • Wrap-Up
  • 👩‍💻Contributing
    • Our coding standards
    • How to push my modification ?
  • 🤕Troubleshooting
  • ❓FAQ
  • 🤓About us
  • Important Links
    • Official Website
    • 📔Release Notes
    • 🥲Known Issues
    • 😎Project Board
    • 🧬Physionet
  • MEDIA
    • ⚛️MEDomics
    • 👾Discord
    • 😺Github
    • 📺YouTube
  • Forms
    • 🗣️Contact us
    • 📝Report an issue
    • ‼️Join the testing phase
Powered by GitBook
On this page
  • 1. Create an Evaluation
  • 2. Open and configure your Evaluation
  • 3. Analyze results
  1. Tutorials
  2. Development

Evaluation Module

PreviousLearning ModuleNextFederated Learning Module

At this point, you should have generated at least, one model from the

1. Create an Evaluation

2. Open and configure your Evaluation

Double click on the .medeval file

The chosen dataset's columns must match the dataset's columns on which the model has been run. Otherwise, an error will explain it so you won't be able to run the evaluation

3. Analyze results

Link to ExplainerDashboard :

🧑‍🏫
🟠
here
learning module
Evaluation Module