Unsupervised Learning, Supervised Learning, Machine Learning, Artificial Intelligence.
model fits against its training data, affecting the accuracy of the algorithm being used to the point of obsoletion[5]. Dimensionality reduction is beneficial for improving the performance of algorithms, and preserving statistical significance in results because it gets rid of redundant data