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
Build Securely on Azure with Proven Frameworks Icon
Build Securely on Azure with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
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