Results 281 to 290 of about 1,014,031 (308)
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Performance Measures for Neyman–Pearson Classification
IEEE Transactions on Information Theory, 2007In the Neyman-Pearson (NP) classification paradigm, the goal is to learn a classifier from labeled training data such that the probability of a false negative is minimized while the probability of a false positive is below a user-specified level alpha isin (0,1).
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Classification Performance Evaluation
2011A great part of this book presented the fundamentals of the classification process, a crucial field in data mining. It is now the time to deal with certain aspects of the way in which we can evaluate the performance of different classification (and decision) models. The problem of comparing classifiers is not at all an easy task.
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General Performance Score for classification problems
Applied Intelligence, 2022Isaac Martin De Diego +2 more
exaly
THE CLASSIFICATION AND PERFORMANCE OF RESPIRATORY VALVES
Anesthesiology, 1959openaire +2 more sources
Classification of Dialysis Membranes by Performance
2015T, Akizawa, E, Kinugasa, T, Ideura
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A Classification for the Performing Arts
Educational Theatre Journal, 1975Frederick J. Hunter, Simon Trussler
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Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain
Applied Sciences (Switzerland), 2021Alhanoof Althnian +2 more
exaly
Classification of Web Services for Efficient Performability
International Journal of Performability Engineering, 2023Jitender Tanwar +3 more
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A systematic analysis of performance measures for classification tasks
Information Processing and Management, 2009Marina Sokolova, Guy Lapalme
exaly