Comparative Analysis of Random Forest and Regression Algorithm for Predicting Radio Wave Attenuation Caused by Clouds

This study's main goal is to anticipate radio wave attenuation caused by cloud formations using the Random Forest algorithm [1]. The clincalc.com website was utilized to determine the sample size for this study. Two groups were divided here. Group-1 used the Regression method to predict radio wave attenuation, while Group-2 used the Random Forest technique to predict radio wave attenuation [2]. For this study, 16 sample sizes were discovered in Groups 1 and 2, 16 samples in Groups 3, and a total of 32 sample sizes were found. The pretest power used to determine the sample size is In this study,ython 3.11 is utilized [3], with an enrollment ratio of 1. The power and alpha values are <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$80 \%, 0.05$</tex>, and 1, respectively. The imaginary part regression procedure yielded an output analysis that showed a maximum frequency of 19 GHz, which matched a matching dielectric constant of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{3 2}$</tex>. In contrast, the maximum frequency observed in the research carried out with the random forest approach was 22 GHz, which corresponds to a dielectric constant of 29 [4]. Our investigation showed a maximum frequency of 23 GHz and a corresponding dielectric constant of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 7. 5}$</tex> for the real part regression technique. The maximum frequency recorded in the analysis conducted with the random forest approach was 22 GHz, and a corresponding dielectric constant of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 8. 3}$</tex> was also noted. The results show that the random forest algorithm performs better than the regression technique, as evidenced by our investigation.