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Use of the mini-model method in classification task on example of iris flower dataset

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The paper presents use of the mini-models method in a classification task. The article briefly describes the method and compares it to the k-nearest neighbor algorithm. The algorithm concentrates only on local query data and uses a data samples only from local neighborhood of the query. The paper presents the results of experiment that compare the effectiveness of mini-models with selected methods of classification. The experiments were performed on well-known Iris Flower dataset and on other popular classification datasets.
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Bibliogr. 18 poz., rys., tab.
  • Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland,
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