Mauricio Alexander Álvarez Ortega

Impacto de las estrategias de preprocesamiento de datos en la precisión de algoritmos de regresión lineal

Data preprocessing is a crucial stage in the performance of linear regression models, where data quality including the handling of missing values, outlier detection, normalization, and variable encoding directly influences the predictive capability of machine learning algorithms. This systematic review, conducted under...