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MLCM: Multi-Label Confusion Matrix [PDF]
IEEE Access, 2022 Concise and unambiguous assessment of a machine learning algorithm is key to classifier design and performance improvement. In the multi-class classification task, where each instance can only be labeled as one class, the confusion matrix is a powerful ...
Mohammadreza Heydarian +2 more
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Comments on “MLCM: Multi-Label Confusion Matrix”
IEEE Access, 2023 In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for
Damir Krstinic +2 more
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Geoscience Data Journal, 2022 The confusion matrix has long been adopted as the ‘de facto’ and ‘de jure’ standard method of reporting on the thematic accuracy assessment of any land surface geospatial dataset.
Francisco J. Ariza‐López +3 more
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TechnologiesThe paper addresses the issue of classification machine learning algorithm performance based on a novel probabilistic confusion matrix concept. The paper develops a theoretical framework which associates the proposed confusion matrix and the resulting ...
Ioannis Markoulidakis +1 more
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Metrics Related to Confusion Matrix as Tools for Conformity Assessment Decisions
Applied Sciences, 2023 Conformity assessment refers to activities undertaken to check whether some product, service or process meets certain criteria and specifications given by internationally accepted standards.
Dubravka Božić +3 more
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Theoretical analysis of an alphabetic confusion matrix [PDF]
Perception & Psychophysics, 1971 A study was undertaken to acquire a confusion matrix of the entire upper-case English alphabet with a simple nonserifed font under tachistoscopic conditions. This was accomplished with two experimental conditions, one with blank poststimulus field and one with noisy poststimulus field, for six Ss run 650 trials each.
James T Townsend
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Monte Carlo simulation with confusion matrix paradigm – A sample of internal consistency indices [PDF]
Frontiers in Psychology, 2023 Pablo A Pérez-Díaz, K V Petrides
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Journal of Innovation Information Technology and Application, 2023 Numerous factors can affect the development of infectious diseases that emerge. While many are the result of natural procedures, such as the gradual emergence of viruses over time, certain ones are the result of human activity.
Saviour Inyang, Imeh Umoren
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Visualizing Classification Results: Confusion Star and Confusion Gear
IEEE Access, 2022 Recent developments in machine learning applications are deeply concerned with the poor interpretability of most of these techniques. To gain some insights in the process of designing data-based models it is common to graphically represent the algorithm&#
Amalia Luque +3 more
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Jurnal Penelitian Fisika dan Aplikasinya, 2023 In detecting epileptic activity, medical experts examine the visual result of Electroencephalography signals. The visual analysis will take a lot of time and effort, due to a large amount of data.
Izaz Nadyah +2 more
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