Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 06_Control_Structures
  • 07_Workflow_Orchestration
  • 04_Call_Workflow_Service
  • 02_Prediction_Service_Consumer
WorkflowWorkflow

Prediction Service Consumer

Workflow Service Random Forest

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
This workflow calls a workflow service which applies a model to data. Data are generated at the Data Generator node, then partinioed using 30% of the data for training and 70% for testing. A Random Forest Learner node is used to perform a prediction on the training data. The prediction model is then transmitted to an external workflow which applies the model to the testing data portion, also transmitted to the external workflow via a Call Workflow Service node. Results for both training and testing are then scored and their accuracy is compared. Finally Is possible to choose whether to append the confidence for the predicted class the confidences for all the other classes.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0 Note: Not all extensions may be displayed.
  • Go to item
    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

Legal

By using or downloading the workflow, you agree to our terms and conditions.

Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits