title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ð¹ Ð¾Ð±ÑÐµÐºÑÐ° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: development of a classification system for the state of an object using machine learning
Creators: name: ÐÐºÐ°Ð½Ð¸ Ð¡Ð°Ð½Ð´ÐµÐ»Ñ, ÐÑÐ´Ð¸Ð°Ð»Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
Ð¼Ð¾Ð´ÐµÐ»Ñ.
machine learning
classification
algorithm
model.

description: ÐÐ¸Ð¿Ð¾ÑÐµÐ·Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¾ÑÑÐ¾Ð¸Ñ Ð² ÑÐ¾Ð¼, ÑÑÐ¾ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ðµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÐºÐ»Ð°ÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ñ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐ¸Ì ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ. ÐÐ»Ñ Ð´Ð¾ÑÑÐ¸Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½Ð¾Ð¸Ì ÑÐµÐ»Ð¸ ÑÐµÑÐ°ÑÑÑÑ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸: Ð¡Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¾Ð± ÑÐ¸ÑÑÐµÐ¼Ðµ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. ÐÐ±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ ÐÐ½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¸Ì Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÑÐµÐ½Ð¸ÑÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸. ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÐµÑÑÑ Ð½Ð°Ð±Ð¾Ñ Ð´Ð°Ð½Ð½ÑÑ, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÐ¸Ì Ð¸Ð·Ð±Ð¾Ð»ÑÐ½Ð¸ÑÑ ÐÐ¸ÑÐºÐ¾Ð½ÑÐ¸Ð½Ð° (Ð¡Ð¨Ð), Ð²Ð·ÑÑÑÐ¸Ì Ñ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ðº Ñ ÑÐ¾Ð»Ð¸Ð´Ð½ÑÐ¼Ð¸ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸ÑÐ¼Ð¸ Ð¼Ð¾Ð»Ð¾ÑÐ½Ð¾Ð¸Ì Ð¶ÐµÐ»ÐµÐ·Ñ. ÐÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¸ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸Ì. ÐÐ»Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¸Ì Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÑÑ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¾ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸: KNN, Random Forest, Logistic Regression, Artificial Neural Networks. ÐÐ¾Ð´ Ð¿Ð¾Ð»ÑÐ½Ð¾ÑÑÑÑ Ð½Ð°Ð¿Ð¸ÑÐ°Ð½ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐ·ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python Ð½Ð° Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ðµ Google Colab.
description: The aim of the study is to develop a classification system using machine learning algorithms for the diagnosis of breast cancer. The hypothesis of the study is that it is possible to build an effective data classifier based on the results of cluster analysis obtained using the model with the best accuracy. To achieve this goal, the following tasks are solved:1. Information about the classification system using machine learning. 2. Classification algorithms.3. Data processing and Analysis.4. Development of various machine learning models.5. Evaluate the effectiveness of the model. The object of the study is a data set obtained from a Wisconsin hospital(USA), taken from patients with solid breast formations. Methods and tools usedSeveral of the most popular classification algorithms are used to build models: KNN, Random Forest, Logistic Regression, Artificial Neural Networks. The code is fully written using the Python programming language on the Google Colab platform.