Research and education

RESEARCH AND EDUCATION

ISSN: 2181-3191

VOLUME 1 | ISSUE 9 | 2022

Scientific Journal Impact Factor 2022: 4.628

http://sjifactor.com/passport.php?id=22258

LOGISTIK REGRESSIYA ASOSIDA TASNIFLASH MASALALARINI YECHISH

Xamdamov Rustam Xamdamovich
Raqamli texnologiyalar va sun’iy intellektni rivojlantirish ilmiy-tadqiqot instituti elshodhaydarov1881@gmail.com

Ibrohimov Aziz Ravshanbek o‘g‘li

“Kiberxavfsizlik markazi” DUK, Axborot tizimlari va rusurslari bo‘limi aribrohimov@gmail.com


Haydarov Elshod Dilshod o‘g‘li Muhammad al-Xorazmiy nomidagi TATU elshodhaydarov1881@gmail.com

ANNOTATSIYA

Hozirgi kunda ko‘plab masalalarni yechish obyektlarni toifalarga tasniflash muammosiga chambarchas bog‘liq. Toifalarga tasniflashning ko‘plab usullari mavjud. Ularni axborot xavfsizligining turli muammolarini yechishda qo‘llasa bo‘ladi. Shu usullardan biri logistik regressiya bo‘lib, ushbu maqolada logitik regressiya usuli yordamida obyektlarni sinflashtirish masalalari yechilgan, shuningdek optimallashtirish masalasining yechimi ham ishlab chiqilgan. Ishlab chiqilgan algoritmlar yordamida toifalashtirishning muammosining turli masalalarni hal etish mumkin.
Kalit so‘zlar: logistik regressiya, chiziqli regressiya, optimallashtirish, spam,

ham.

SOLVING CLASSIFICATION ISSUES BASED ON LOGISTIC REGRESSION

ABSTRACT
Currently, the solution of many issues is closely related to the problem of classifying objects into categories. There are many ways to classify into categories. They can be used to solve various problems of Information Security. One of these methods is logistic regression, in this article the issues of classification of objects using the logitic regression method were solved, and a solution to the optimization issue was also developed. With the help of developed algorithms, it is possible to solve various problems of the problem of categorization.
Keywords: logistic regression, linear regression, optimization, spam, ham.