GATree: Evolutionary decision tree classifier inPython

GATree is a Python library that simplifies the way decision trees are constructed and optimised for classification machine learning tasks 1 .Leveraging the principles of standard genetic algorithms, GATree allows for the dynamic evolution of decision tree structures, providing a flexible and powerful tool for machine learning practitioners.Unlike traditional decision tree algorithms that follow a deterministic path based on statistical models or information theory, GATree introduces an evolutionary process where selection, mutation, and crossover operations guide the development of optimised trees.This method enhances the adaptability and performance of decision trees and opens new possibilities for addressing complex classification problems.GATree stands out as a user-friendly, highly customisable solution, enabling users to tailor fitness functions and algorithm parameters to meet specific project needs, whether in academic research or practical applications.

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Publication Details

Journal
The Journal of Open Source Software
Published
2024-08-12
DOI
https://doi.org/10.21105/joss.06748
Citations
2
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.69
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article

GATree: Evolutionary decision tree classifier inPython

Sašo Karakatič, Tadej Lahovnik
2 citations
The Journal of Open Source Software
Evolutionary Algorithms and Applications
0.69
article

GATree: Evolutionary decision tree classifier inPython

Sašo Karakatič, Tadej Lahovnik
article en
2 citations

Abstract

GATree is a Python library that simplifies the way decision trees are constructed and optimised for classification machine learning tasks 1 .Leveraging the principles of standard genetic algorithms, GATree allows for the dynamic evolution of decision tree structures, providing a flexible and powerful tool for machine learning practitioners.Unlike traditional decision tree algorithms that follow a deterministic path based on statistical models or information theory, GATree introduces an evolutionary process where selection, mutation, and crossover operations guide the development of optimised trees.This method enhances the adaptability and performance of decision trees and opens new possibilities for addressing complex classification problems.GATree stands out as a user-friendly, highly customisable solution, enabling users to tailor fitness functions and algorithm parameters to meet specific project needs, whether in academic research or practical applications.

The Journal of Open Source SoftwareVol. 9(100)
University of Maribor (SI)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Evolutionary Algorithms and Applications
0.69
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