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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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2023-12-01
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| Colecção: | Systems and Soft Computing |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2772941922000126 |
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