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ITree: a user-driven tool for interactive decision-making with classification trees
Hubert Sokołowski1, Marcin Czajkowski1, Anna Czajkowska2
1Faculty of Computer Science, Bialystok University of Technology, Bialystok 15-351, Poland.
Motivation:
ITree is an intuitive web tool for the manual, semi-automatic, and automatic induction of decision trees. It enables interactive modifications of tree structures and incorporates Relative Expression Analysis for detecting complex patterns in high-throughput molecular data. This makes ITree a versatile tool for both research and education in biomedical data analysis.
Results:
The tool allows users to instantly see the effects of modifications on decision trees, with updates to predictions and statistics displayed in real time, facilitating a deeper understanding of data classification processes.
Availability And Implementation:
Available online at https://itree.wi.pb.edu.pl. Source code and documentation are hosted on GitHub at https://github.com/hsokolowski/iTree and in supplement.
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