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Technical Disclosure Commons Defensive Publications Series 12 Dec 2017Machine Learning to Select Screen Brightness Level Thomas Price Ryan LerbaFollow this and additional works at: https://www.tdcommons.org/dpubs_seriesRecommended
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Machine learning to select is a process of using algorithms to automatically select a model or algorithm that is best suited for a specific task.
Anyone working on a machine learning project or utilizing machine learning algorithms may be required to file machine learning to select.
Machine learning to select can be filled out by analyzing the data, selecting the appropriate algorithms, and evaluating the performance to determine the best model.
The purpose of machine learning to select is to ensure that the best model or algorithm is chosen to achieve optimal performance in a given task.
The information reported on machine learning to select may include the data analyzed, algorithms considered, model performance metrics, and rationale for selecting the final model.
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