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

You Might Also Like
Red Hat Enterprise Linux on Microsoft Azure Icon
Red Hat Enterprise Linux on Microsoft Azure

Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.

Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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

Science/Research, Developers

Programming Language

Java

Related Categories

Java Artificial Intelligence Software

Registered

2007-09-04