Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
the model performs badly on the test data because it becomes overly reliant on training data. (C ) As the number of features decreases, so does the number of samples, resulting in a complex model. This is known as the curse of dimensionality. (D) Due to the lower number of features, there is a