👉 Underdepth, also known as "underdetermined" or "underfitting", is a statistical term used in machine learning and statistics to describe a model that does not have enough data points to accurately predict the output of an underlying variable. In other words, it doesn't fully capture the relationship between the input variables and the target variable. Underdepth models are often used when there's too much information available about the input variables but insufficiently so about the output variable. For example, if you
