Entropy is a measurement of the uncertainty of a system. In machine learning, entropy is often used to measure the uncertainty of a particular outcome. It can also be used to measure the randomness of a system, which can be used as a measure of the diversity of a dataset. By analyzing the entropy of a dataset, a machine learning algorithm can help determine which data points are more important, and can help improve the accuracy of the model.
How does the concept of entropy relate to machine learning?