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

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.