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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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TPR-TNR plot for confusion matrix
Communications for Statistical Applications and Methods, 2021 The two-dimensional confusion matrix used in credit assessment, biostatistics, and many other fields consists of true positive, true negative, false positive, and false negative. Their rates, such as the true positive rate (TPR), true negative rate (TNR),
Chong Sun Hong, Tae Gyu Oh
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PENGUKURAN KINERJA SISTEM KUALITAS UDARA DENGAN TEKNOLOGI WSN MENGGUNAKAN CONFUSION MATRIX
Jurnal informatika UPGRIS, 2021 Abstrak— Kualitas udara sangatlah penting dalam lingkungan industri yang wajib untuk monitor. Terutama di daerah perkotaan, karena akan berpengaruh langsung terhadap kesehatan masyarakat maupun kenyamanan kota.
Banu Putri Pratiwi +2 more
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مجلة بغداد للعلوم, 2023 Healthcare experts have been employing machine learning more and more in recent years to enhance patient outcomes and reduce costs. In addition, machine learning has been applied in various areas, including disease diagnosis, patient risk classification,
Maad M. Mijwil, Mohammad Aljanabi
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Evaluating Trust Prediction and Confusion Matrix Measures for Web Services Ranking
IEEE Access, 2020 To accurately rank various web services can be a very challenging task depending on the evaluation criteria used, however, it can play an important role in performing a better selection of web services afterward.
Muhammad Hasnain +5 more
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Multi-label Classifier Performance Evaluation with Confusion Matrix
Computer Science & Information Technology, 2020 Confusion matrix is a useful and comprehensive presentation of the classifier performance. It is commonly used in the evaluation of multi-class, single-label classification models, where each data instance can belong to just one class at any given point in time. However, the real world is rarely unambiguous and hard classification of data instance to a
Krstinić, Damir +3 more
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Naïve Bayes dan Confusion Matrix untuk Efisiensi Analisa Intrusion Detection System Alert
Jurnal Teknologi dan Sistem Informasi, 2022 Banyaknya malware menyebabkan IDS (Intrusion Detection System) dituntut menyesuaikan diri semakin kompleks sehingga mahal dan membebani perusahaan yang menggunakannya.
Muhammad Kamil Suryadewiansyah +1 more
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PyCM: Multiclass confusion matrix library in Python [PDF]
Journal of Open Source Software, 2018 In the field of machine learning and specifically for statistical classification a confusion matrix also known as error matrix is a specific table layout that allows visualization of the algorithm performance, and is mostly used in supervised learning ...
Sepand Haghighi +3 more
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Confusion Matrix as Performance Measure for Corner Detectors
Journal of Advanced Research in Applied Sciences and Engineering Technology, 2022 Nowadays, corner detection algorithms have been proposed by several researchers who described them contrarily, depending on their respective viewpoints to obtain the data and information as a human eye does. Basically, no researchers have come up with a technique to compare corner detectors with another’s.
null Nurul Ehsan Ramli +2 more
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Confusion Matrix Stability Bounds for Multiclass Classification
, 2012 In this paper, we provide new theoretical results on the generalization properties of learning algorithms for multiclass classification problems. The originality of our work is that we propose to use the confusion matrix of a classifier as a measure of ...
Machart, Pierre, Ralaivola, Liva
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