👉 In the context of data science, "overseverity" refers to a statistical measure that measures the degree of risk or uncertainty associated with a dataset. It is a measure of how much information about the data can be inferred from its sample statistics and how reliable these estimates are. Overseverity can be used in various applications such as model selection, hypothesis testing, and prediction. It helps in understanding the level of confidence that should be placed on each predictor or feature when making predictions based on a dataset
