👉 Overprecision is a term used in computer programming and data processing to describe an error where a piece of information is too precise or detailed for its context. This can be caused by using terms that are too specific, overly restrictive, or being too detailed when describing objects or events. Overprecision can result in inaccuracies, errors, and inconsistencies in the output, which can lead to poor performance or difficulty in understanding the intended meaning of the data.
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What is the definition of Overprecision? 🙋
👉 In computer science and artificial intelligence, "overprecision" refers to a feature of machine learning models that allows them to make predictions with more accuracy than would be expected for a model without this feature. Overprecision is achieved by training a model on data where the features are highly correlated (i.e., as many samples as possible have identical values for each feature), and then using additional features or regularization techniques to reduce the amount of redundant information in the dataset. Overprecision can improve accuracy and generalization,
