NON-PARAMETRIC METHODS. K-NEAREST NEIGHBORS MODEL
DOI:
https://doi.org/10.37547/ijasr-03-12-04Keywords:
Dataset, trainset, hyperparametersAbstract
One of the machine learning algorithms k-Nearest Neighbors algorithm is widely used for classification tasks in the construction of artificial intelligence programs. In the k-NN algorithm, when determining which class a new object belongs to, the distances from this object to all objects are measured, and if there are more objects belonging to which class among the nearest k selected objects, the new object is considered to belong to this class, which makes it makes it an intuitive and powerful tool for solving complex problems. In this article, a model for determining whether a patient is diagnosed with breast cancer or not is created using the k-NN algorithm. This problem is calculated using binary classification.
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Copyright (c) 2023 Salimov Jamshid Obid , O‘G‘Li, Xudoyqulov Diyorbek Shakar O‘G‘Li, Avazov Asadbek Egamberdi O‘G‘Li
This work is licensed under a Creative Commons Attribution 4.0 International License.
