- Pure Python custom binary decision tree implementation (notebook) in an OOP manner.
- Example use on AIMA's restaurant dataset.
- Requires Numpy library.
- Creates optimal decision tree structure for a given depth and training dataset.
- Uses entropy minimization to define tree structure.
- Contains rudimentary visualization methods.
-
Notifications
You must be signed in to change notification settings - Fork 1
Custom binary decision tree implementation in Python (notebook). Example use on AIMA's restaurant dataset.
License
AndrewSpittlemeister/Another-Decision-Tree-in-Python
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Custom binary decision tree implementation in Python (notebook). Example use on AIMA's restaurant dataset.
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published