Improving Efficiency in Anticipating the spread of Covid based on Geographical Location Identification over Online Social Network Analysis using Novel Logistic Regression Algorithm comparing Random Forest Algorithm

Aim: The purpose of study is to intensify the efficacious percentage of identifying a geographic place to alleviate impact of covid 19 utilizing machine learning heuristic by correlating novel LR and RF algorithm. Materials and Methods: LR and Forest Methodology with sample size of 10, G-power (0.8) has been forecasted numerous times to determine the performance percentage. The weights and configurations of Logistic Regression are used to assess it. Results and Analysis: LR algorithm has good efficiency (53%) in comparison to RF Algorithm efficiency (27%). The outcomes obtained with p=0.501 (p>0.05) significance value show that two groups are relatively irrelevant. Conclusion: The LR algorithm outperformed the RF algorithm by a wide margin.