Location
RC 157
Start Date
3-8-2018 9:45 AM
End Date
3-8-2018 10:45 AM
Description
What are decision trees, and how are they used in machine learning (data mining)? This session introduces computer-induced decision trees, their respective parts, how to interpret them, and how to induce them from common datasets (using RapidMiner Studio). This will show how parameters affect the induced decision trees and the levers that may be used to affect instructive decision trees used for predictivity (to anticipate the future based on data-induced patterns) and for as-yet uncaptured future data.
Drawing Decision Trees with Educational Data using RapidMiner Studio
RC 157
What are decision trees, and how are they used in machine learning (data mining)? This session introduces computer-induced decision trees, their respective parts, how to interpret them, and how to induce them from common datasets (using RapidMiner Studio). This will show how parameters affect the induced decision trees and the levers that may be used to affect instructive decision trees used for predictivity (to anticipate the future based on data-induced patterns) and for as-yet uncaptured future data.