Real time loan prediction system using novel logistic regression algorithm compared random forest algorithm for increased accuracy rate

Continuous loan forecasts are made more accurate in this study by using new logistic regression (NLR) and random forest techniques. These are estimations that are close to what is reported. By playing about with the NLRA value, we may attempt to mimic the pH-altering effects of a 10-number random forest method and a 10-number new logistic regression calculation. Twenty instances were employed for this study, with Gpower 80% for both groups used to choose the test size. The basic accuracy achieved by NLRA is greater (83.29% vs. 81.64%), when comparing the two approaches. When comparing the new logistic regression model with the random forest model, a statistically significant difference was observed (p