What are some ethical considerations related to deploying models that might be overfit, especially in high-stakes applications?

In other words, AIC deals with both the risk of overfitting and the risk of underfitting. The Akaike information criterion is named after the Japanese ... Aug 25, 2024 ... If it's prone to over fit, you could probably use some perturbed ... Rather, informational entropy is the new fuel. Upvote -2. Downvote May 17, 2023 ... Composer Securities does not provide tax advice. This material is for informational purposes only and is not intended to be a substitute for ... Oct 26, 2018 ... ... over time. Together, this research suggests that at least compositional information effects might bias human rights data over time. In a ... sues, e.g. overfitting, computational burden, and in- terpretability of the final model. It is therefore an important research direction to automatically ... Jul 26, 2023 ... By addressing issues such as overfitting, data quality, path ... The opinions and ideas presented herein are for informational and ... : Entropy aids in determining the most informative features for splitting the data, thereby maximizing information gain. ... data without overfitting to the noise ... Feb 24, 2025 ... ⚬ Challenges such as overfitting, enhancing model accuracy, and trade-offs between ac- curacy and generalizability. • Modeling and Forecast ... Contact your optician or a medical professional directly if you have any questions concerning your eye health or the information contained on this website. Real ... For a new information criterion that utilizes quantified uncertainty to penalize overfitting models, please refer to Thanasutives, P., Morita, T., Numao, M., & ...