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This Python code utilizes the decision tree algorithm from the scikit-learn library to perform banknote authentication. The code aims to analyze the impact of different train-test split ratios and training set sizes on the accuracy and size of the learned decision tree.

  • Updated Aug 24, 2023
  • Python
SMIA

This repository contains the ongoing development of the Self-configurable Manufacturing Industrial Agents (SMIA) reference framework. The project originated as part of a PhD thesis by Ekaitz Hurtado in the Systems Control and Integration (GCIS) research group at the University of the Basque Country (EHU), and continues its active development.

  • Updated Jul 29, 2026
  • Python

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