Improve and supervise various learning processes and enable the improvement of working comprehension. Build and modify decision trees relevant to a current project, organize connections between materials, and control the classification learning results.
Our software library provides a free download of Decision Tree 4.4.0. The file size of the latest installation package available is 315 KB. The program belongs to Education Tools. The most popular versions among the program users are 4.4 and 3.0.
This download was scanned by our built-in antivirus and was rated as malware free. The actual developer of the free software is Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, Byron Knoll. Commonly, this program's installer has the following filenames: DT30.exe and dtree.exe etc.
From the developer:
Learning is the ability to improve one's behaviour based on experience and represents an essential element of computational intelligence. Decision trees are a simple yet successful technique for supervised classification learning. This tool demonstrates how to build a decision tree using a training data set and then use the tree to classify unseen examples in a test data set.
You may want to check out more software, such as Analytica from Lumina Decision Systems Inc., Tree Notes or i-Tree Streets, which might be similar to Decision Tree.