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Knime I: Decision Tree Models In-Person

Goal(s): The goal of this workshop is to teach participants how to create a decision tree model using the Knime Analytics Platform
 

Outcomes: Participants will be able to use the Knime Analytics Platform to build a basic decision tree model.

Description: This hands-on introduction to the Knime Analytics Platform will guide participants through the process of constructing a decision tree to model 2016 votes for Donald Trump in Texas using various demographic attributes. “A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.” (https://en.wikipedia.org/wiki/Decision_tree)

Detailed Contents:

1. Ensure Knime Analytics Platform installation
2. Describe Data Scholar Program
3. Intro Slideshow
4. Discuss prepared datasets
5. Create empty Knime workflow
6. Import Excel file
7. Bin classes		 8. Partition for training
9. Train decision tree
10. Visualize decision tree
11. Apply model to test data
12. Measure prediction accuracy
13. Adjust number of classes (bins)

 

Date:
Friday, February 22, 2019
Time:
1:00pm - 2:30pm
Time Zone:
Central Time - US & Canada (change)
Categories:
  Digital Scholarship Workshops  
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Joshua Been