An interactive web application for decision tree learning

  • Decision tree learning offers an intuitive and straightforward introduction to machine learning techniques, especially when students are used to program imperative code. Most commonly, trees are trained using a greedy algorithm based on information-theoretic criteria. While there are many static resources such as slides or animations out there, interactive visualizations tend to be based on somewhat outdated UI technology and dense in information. We propose a clean and simple web application for decision tree learning that is extensible and open source.

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Metadaten
Author:Miriam EliaORCiDGND, Carola GajekORCiDGND, Alexander SchiendorferORCiDGND, Wolfgang ReifORCiDGND
URN:urn:nbn:de:bvb:384-opus4-797115
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/79711
URL:https://openreview.net/forum?id=aLdr-6rFn5j
URL:http://proceedings.mlr.press/v141/elia21a.html
Parent Title (English):Proceedings of the Teaching Machine Learning Workshop at ECML-PKDD 2020, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 14 September 2020, Virtual Conference
Publisher:ML Research Press
Editor:Bernd Bischl, Oliver Guhr, Heidi Seibold, Peter Steinbach
Type:Part of a Book
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2020/09/25
First Page:11
Last Page:16
Series:PMLR - Proceedings of Machine Learning Research ; 141
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Software & Systems Engineering
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Professur Softwaremethodik für verteilte Systeme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht