SUPERVISED LEARNING REGRESSION ALGORITHM SIMPLE LINEAR REGRESSION

Authors

  • Salimov Jamshid Obid o’g’li Assistant Jizzakh branch of National University of Uzbekistan
  • Xolmurodov Abduxoliq Nodir o'g'li Student Jizzakh branch of National University of Uzbekistan
  • Bobomurotov Jafarbek Jasurjonovich Student Jizzakh branch of National University of Uzbekistan

DOI:

https://doi.org/10.17605/OSF.IO/QD9X8

Keywords:

regression,model,predictor, not available,test set, training set.

Abstract

In this article, the main task of Simple Linear Regression is to establish a linear relationship between (x) the independent variable and (y) the dependent variable. And predicting the value of the dependent variable based on the value of the independent variable

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Published

2023-04-12

How to Cite

Salimov Jamshid Obid o’g’li, Xolmurodov Abduxoliq Nodir o’g’li, & Bobomurotov Jafarbek Jasurjonovich. (2023). SUPERVISED LEARNING REGRESSION ALGORITHM SIMPLE LINEAR REGRESSION. Emergent: Journal of Educational Discoveries and Lifelong Learning (EJEDL), 4(04), 69–76. https://doi.org/10.17605/OSF.IO/QD9X8

Issue

Vol. 4 No. 04 (2023): ejedl.academiascience

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.