Machine Learning, Dimensionality Reduction, Big Data, Big Data Analytics, Statistics.
the model. Some of the notable points are: It may lead to high computational cost. It may cause overfitting during training of the model that means the model performs well during training, but performance accuracy degrades during testing on new data samples. The higher the number of features