Adjusted Overfitting Regression
This addresses the issue of inaccurate predictions due to overfitting for users of regression models, but it appears incremental as it builds on existing regression concepts.
The paper tackles the problem of overfitting and underfitting in regression by introducing a new distance-based regression method, aiming to derive more accurate predictions, but no concrete results or numbers are provided.
In this paper, I will introduce a new form of regression, that can adjust overfitting and underfitting through, "distance-based regression." Overfitting often results in finding false patterns causing inaccurate results, so by having a new approach that minimizes overfitting, more accurate predictions can be derived. Then I will proceed with a test of my regression form and show additional ways to optimize the regression. Finally, I will apply my new technique to a specific data set to demonstrate its practical value.