SCIENCE & INNOVATION

DEVELOPMENT OF A MODULE FOR EVALUATING THE ACTIVITY OF THE MAKHALLA CHAIRPERSONS BASED ON THE EXPERTS' ASSESSMENT WITH THE ALGORITHMS

09.05.2023 International Scientific Journal "Science and Innovation". Series A. Volume 2 Issue 5

Ibragimov Muhiddin Fakhraddin ugli, Matyakubov Islombek Ikrom ugli, Raximov Asadbek Dilshod ugli, Musayev Muhammadjon Xursandbek ugli

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.

Keywords: expert, model, evaluation, linear regression learner, polynomial regression learner, RProp MLP Learner, X-Partitioner, X-Aggregator, error, object