👉 Decardinalization is a method of data reduction in machine learning and statistical modeling where you remove or reduce some of the important features from your dataset to focus on more relevant or informative aspects. This can help improve model performance by reducing overfitting and improving generalization. In machine learning, decardinality refers to the process of removing certain features from a dataset so as to retain only the most informative ones for prediction purposes. The goal is to reduce the dimensionality of data while still retaining useful
