The Curse of Dimensionality arises when the number of features or variables in a dataset becomes too large. This can lead to a range of issues including Multicollinearity, Overfitting and Computational Complexity. All of these can have negative impacts on the accuracy and reliability of Machine Learning models. CoD pertains to the challenges encountered when […]