DEVELOPMENT OF A MODULE FOR EVALUATING THE ACTIVITY OF THE MAKHALLA CHAIRPERSONS BASED ON THE EXPERTS' ASSESSMENT WITH THE ALGORITHMS
Journal Title: International scientific journal Science and Innovation - Year 2023, Vol 2, Issue 5
Abstract
This article deals with the application of machine learning algorithms in the development of a module for evaluating the activity of mahallas based on the employment data of the mahalla. For the issue of classification of machine learning, the construction of a model for the support of Linear Regression, Polynomial Regression and Neural Network algorithms of Machine Learning is mentioned. By using these algorithms, the problem of automatic assessment of mahalla assessment has been solved. Experimental work was carried out on the KNIME Analytics platform. The obtained results are compared for these algorithms and conclusions are presented.
Authors and Affiliations
Ibragimov Muhiddin Fakhraddin ugli, Matyakubov Islombek Ikrom ugli, Raximov Asadbek Dilshod ugli, Musayev Muhammadjon Xursandbek ugli
Keywords
Related Articles
- EP ID EP716500
- DOI 10.5281/zenodo.7915928
- Views 36
- Downloads 0
METHODS OF RESEARCHING LEVELS OF SCIENTIFIC OUTLOOK IN STUDENTS
The article is based on the methods of researching the levels of scientific outlook in students, the characteristics of the student's scientific outlook and the interdependence of the motivation to achieve success, the p...
THE ROLE OF FORESIGHT SESSIONS IN THE DEVELOPMENT OF ECO-FORESIGHT COMPETENCE
In the article, the use of foresight technology in the educational process in the development of eco-foresight competence, metoeco-foresight competency models and foresight methods used in the educational process are cla...
STUDY OF SEED MOVEMENT
In the article, the speed of movement of seeds along the projection of the axes along the surface of the seeding device, the analytical connections for determining the absolute speed, as well as the expressions for calcu...
CONGENITAL NEUROLOGICAL DISORDERS IN CHILDREN WITH MICROCEPHALY
Primary microcephaly ( PMCF) is a neurodevelopmental disorder characterized by a small brain size, primarily due to a decrease in the cerebral cortex, and varying degrees of mental retardation (Woods et al., 2005;Mahmood...
PRODUCTIVITY INDICATORS OF FOREIGN AND LOCAL PEA VARIETY SAMPLES PLANTED IN THE AUTUMN PERIOD
Peas have been cultivated since ancient times in the arid regions of Central and Asia Minor, and accordingly, the average yield of peas is 15-20 t/ha (25-30 t/ha and more in countries with advanced modern technologies)....