USING REGRESSION ANALYSIS TO ASSESS THE IMPACT OF MODEL WEIGHT AND FORECASTING ACCURACY ON WEB APPLICATION PERFORMANCE

Ilyin Andrey Yuryevich, Plotnikov Sergey Borisovich

The article examines the relationship between the model weight and the quality of prediction using the regression analysis method. The study is aimed at identifying patterns and obtaining optimal parameters for further development of the author's method of predictive analysis of user behavior. The results proved a clear relationship between these parameters, thereby proving the hypothesis about the influence of the prediction model weight and the attenuation depth on the performance of a web application.

Keywords:Predictive analysis, web application, Markov chains, regression analysis, probability theory