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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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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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Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain
Applied Sciences (Switzerland), 2021Heba Kurdi +2 more
exaly
A Classification for the Performing Arts
Educational Theatre Journal, 1975Frederick J. Hunter, Simon Trussler
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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
New approach to cancer therapy based on a molecularly defined cancer classification
Ca-A Cancer Journal for Clinicians, 2014Cortes J, Joan Seoane, Ana Vivancos
exaly