Cleansing of inconsistent sample in linear regression model based on rough sets theory
The linear regression model is one of the most common and easiest algorithms used in machine learning for predictive analysis purposes. However, this model performs well under strict assumptions such as the number of observations, the linearity of variables, multicollinearity, homoskedasticity, reli...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2023-12-01
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| Серія: | Systems and Soft Computing |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2772941922000126 |
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