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Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...
Cross-validation is a statistical method used to evaluate machine learning models. Subsets of the available input data are used to train the model, and a complementary subset of the data is used ...
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Explainable AI supports improved nickel catalyst design for converting carbon dioxide into methane
The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...
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Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial
Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...
Frequently asked Questions What is cross-validation in machine learning? Cross-validation is a statistical method used to evaluate machine learning models.
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