dkam/decisiontree
1
0
Fork 0
mirror of https://github.com/dkam/decisiontree.git synced 2025-12-28 15:14:52 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Merge pull request #43 from salunkheketki19/master

Browse Source 
Update README.md
This commit is contained in:
Ilya Grigorik
2018-10-27 09:29:50 -07:00
committed by GitHub
parent 2486d0df99 4862fc4766
commit e30c18853a
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@@ -13,7 +13,7 @@ A Ruby library which implements [ID3 (information gain)](https://en.wikipedia.or
## Implementation
- Ruleset is a class that trains an ID3Tree with 2/3 of the training data, converts it into a set of rules and prunes the rules with the remaining 1/3 of the training data (in a [C4.5](https://en.wikipedia.org/wiki/C4.5_algorithm) way).
- Ruleset is a class that trains an ID3Tree with 2/3 of the training data, converts it into set of rules and prunes the rules with the remaining 1/3 of the training data (in a [C4.5](https://en.wikipedia.org/wiki/C4.5_algorithm) way).
- Bagging is a bagging-based trainer (quite obvious), which trains 10 Ruleset trainers and when predicting chooses the best output based on voting.
[Blog post with explanation & examples](http://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/)