Presented by:
Brian Broll
Brian Broll is a Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University. He holds a Ph.D. from Vanderbilt University in Computer Science and a B.Sc. from Buena Vista University, majoring in mathematics education. His research interests include computer science education and model integrated computing.
This project starts as a Parson's problem for implementing the DT-building algorithm. Then we visualize the tree learned from a synthetic Twitter dataset and a real-world phishing dataset.
Starter Template: https://editor.netsblox.org/?action=present&Username=brian&ProjectName=Decision%20Tree%20Template& Training on the Twitter Dataset: https://editor.netsblox.org/?action=present&Username=brian&ProjectName=Decision%20Tree%20Solution& Applying it to a Phishing Dataset: https://editor.netsblox.org/?action=present&Username=brian&ProjectName=Phishing%20Decision%20Tree&
- Duration:
- 3 min
- Room:
- Plenary
- Conference:
- Snap!Con 2022
- Type:
- Show Your Project
This session is a part of:
Bernat Romagosa
The Snap!shot hit returns! Join us for a face-paced round of some awesome things Snap! users have built. No slides allowed here, just neat projects from the community.
- Dashed Line Graphics Library
- Talk to Mt Everest, an elephant, or Charles Darwin
- Using Metaprogramming to Analyze Projects
- Generative Adversarial ML in NetsBlox: Circle GAN
- 3D Plotting of 2D Array Data
- Find the Minimum: Trying on the Shoes of an ML training algorithm
- A Small Simulation System
- Image Convolution in Snap!
- Build a Decision Tree from Data
- audio-Steganography experiments