| Autor: |
Jadhav, S. S., Parmar, R. O., Patil, N. K., Pagare, S. G., Joshi, M. A., Khairnar, S. L. |
| Předmět: |
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| Zdroj: |
Journal of Advanced Zoology; 2023 Supplement, Vol. 44, p18-22, 5p |
| Abstrakt: |
In this study we have investigates the impact of polynomial degree selection on data fitting accuracy in analyzing population trends within Nashik District. Through a series of figures, it becomes evident that lowerdegree polynomials, including linear and quadratic models, inadequately match the dataset's complexity. However, with escalating polynomial degrees, a notable improvement in fitting effectiveness emerges. This analysis highlights the critical role of selecting an appropriate polynomial degree in accurately representing underlying trends. While higher-degree polynomials offer improved fitting, the risk of overfitting, especially with smaller datasets, necessitates a delicate balance between complexity and accuracy. Understanding dataset characteristics is pivotal in determining the optimal polynomial degree for effective representation and prediction of population trends in Nashik District. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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