model efficiency
📖 Definitions
-
The ratio of a machine learning or computational model's performance (such as accuracy or precision) to the computational resources (such as time, memory, energy, or processing power) required to execute it.; In statistics, the ability of an estimator or a model to provide precise results with the minimum amount of data or parameters.
💬 Examples
-
The strategic deployment of resources aims to enhance model efficiency and broaden the applicability of their AI solutions across various industries.
-
High model efficiency in statistical analysis allows researchers to obtain reliable estimates using smaller sample sizes.