К содержанию
РецензированоEN2023

NON-PARAMETRIC METHODS. K-NEAREST NEIGHBORS MODEL

Salimov Jamshid Obid , O‘G‘Li (Assistant Jizzakh Branch Of National University Of Uzbekistan) · Xudoyqulov Diyorbek Shakar O‘G‘Li (Student Jizzakh Branch Of National University Of Uzbekistan) · Avazov Asadbek Egamberdi O‘G‘Li (Student Jizzakh Branch Of National University Of Uzbekistan)

Международный журнал передовых научных исследований · 18-25 · 2023

Аннотация

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.

Доказательный фрагмент

«One of the machine learning algorithms k-Nearest Neighbors algorithm is widely used for classification tasks in the construction of artificial intelligence programs.»

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Демо-превью

One of the machine learning algorithms k-Nearest Neighbors algorithm is widely used for classification tasks in the construction of artificial intelligence programs. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

DOI не указан
Цитирований
0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
Dataset, trainset, hyperparameters
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