Adjusted Overfitting Regression
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916451991945216 |
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| author | Wilson, Dylan |
| author_facet | Wilson, Dylan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_18950 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Adjusted Overfitting Regression Wilson, Dylan Machine Learning 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. |
| title | Adjusted Overfitting Regression |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2410.18950 |