Results 21 to 30 of about 2,841,275 (318)
Confusion Matrix-Based Performance Evaluation Metrics
African Journal of Biological SciencesS. Sathyanarayanan
semanticscholar +4 more sources
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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Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels [PDF]
International Conference on Human Factors in Computing Systems, 2021 The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances. We conduct formative research with machine
Jochen Gortler +7 more
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Confusion Matrix in Binary Classification Problems: A Step-by-Step Tutorial
Journal of Engineering Research, 2022 : In the field of machine learning, the confusion matrix is a specific table adopted to describe and assess the performance of a classification model (e.g.
Mahmoud Fahmy Amin
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Bootstrap Assessment of Crop Area Estimates Using Satellite Pixels Counting
Stats, 2022 Crop area estimates based on counting pixels over classified satellite images are a promising application of remote sensing to agriculture. However, such area estimates are biased, and their variance is a function of the error rates of the classification
Cristiano Ferraz +3 more
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Egyptian Journal of Remote Sensing and Space Sciences, 2022 Rice is one of the most important food staples in many countries, particularly Iran. Because irrigated rice production differs from other agricultural fields, this study developed a paddy field mapping model based on phenological aspects, various ...
Amir Hedayati +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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IOT BASED ENVIRONMENT COMFORT LEVEL PREDICTION MODEL USING ENSEMBLE LEARNING
ICTACT Journal on Soft Computing, 2021 Predicting indoor environment comfort through machine learning algorithm is considered as an important research topic nowadays. People spend most of the time inside the building by doing some kitchen work, reading, watching TV, work in office building ...
R Vijayalakshmi, L Jayasimman
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