The Decision Tree Learning algorithm ID3 extended with pre-pruning for WEKA, the free open-source Java API for Machine Learning. It achieves better accuracy than WEKA's ID3, which lacks pre-pruning.Info: http://bruno-wp.blogspot.com/search/label/Softwar

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow WEKA - DecisionTree - ID3 with Pruning

WEKA - DecisionTree - ID3 with Pruning Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Try Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
0
0
0
0
1
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • tried to load it in Weka 3.6.8, found the algorithm as BWPTree under weka.classifiers.trees, but get an error in weka's gui "Prolem evaluating classifier", i expected a field where i can enter the prepruning gain, didnt appear in weka's gui, also no command line options provided in documentation for >java weka.classifiers.trees.BWPTree -?
Read more reviews >

Additional Project Details

Intended Audience

Developers, Science/Research

Programming Language

Java

Related Categories

Java Artificial Intelligence Software

Registered

2007-09-04