Results 11 to 20 of about 3,494,638 (328)

F1 Score Based Weighted Asynchronous Federated Learning

International Journal for Research in Applied Science and Engineering Technology
: The domain of federated learning has observed remarkable developments in recent years, enabling collaborative model training while preserving data privacy.
Sneha Yarlagadda, Sai Harshith Tule, Karthik Myada   +2 more
semanticscholar   +2 more sources

Calibrating F1 Scores for Fair Performance Comparison of Binary Classification Models With Application to Student Dropout Prediction

IEEE Access
The F1 score has been widely used to measure the performance of machine learning models. However, it is variant to the ratio of the positive class in the training data, $\pi $ .
Hyeon Gyu Kim, Yoohyun Park
doaj   +2 more sources

Enhancing Regional Plagiarism Detection Using a Backtrack Matching Model: A Precision, Recall, and F1 Score-Based Evaluation

Journal of Information Systems Engineering and Management
In the era of digital content creation and academic publishing, ensuring the originality of written work has become crucial. Plagiarism detection tools have evolved to combat this issue, but their effectiveness varies based on regional linguistic nuances, such as local idioms, translations, and cultural expressions.
Prashanth Kumar HM
openalex   +3 more sources

High-F1-score Recognition of Input Gestures while Holding Smartphone by Reducing False Detection Due to Walking Noise [PDF]

Sensors and Materials, 2022
Ryo Katsuma, Tomoaki Amiya
openalex   +2 more sources

X-ray is not inferior to CT in terms of F1 score in the diagnosis of foreign body aspiration: a recall, precision and F1 score performance analysis based on bronchoscopically proven cases. [PDF]

J Pediatr (Rio J)
Sarac F, Yazici M.
europepmc   +3 more sources

STUDY TIME CLASSIFICATION OF MATHEMATICS AND INFORMATION TECHNOLOGY DEPARTMENT OF KALIMANTAN INSTITUTE OF TECHNOLOGY USING NAÏVE BAYES ALGORITHM

Barekeng, 2023
Institut Teknologi Kalimantan (ITK) is one of the state universities in Indonesia which has 5 majors, one of them is the Department of Mathematics and Information Technology (JMTI).
Fatrysia Wikarya Sucipto, Ramadhan Paninggalih, Indira Anggriani   +2 more
doaj   +1 more source

Semantic Evaluation of Multilingual Data-to-Text Generation via NLI Fine-Tuning: Precision, Recall and F1 scores [PDF]

Findings of the Association for Computational Linguistics: ACL 2025
William Soto Martinez, Yannick Parmentier, Claire Gardent   +2 more
openalex   +2 more sources

Extending F1 metric, probabilistic approach [PDF]

Advances in Artificial Intelligence and Machine Learning, 2022
This article explores the extension of well-known F1 score used for assessing the performance of binary classifiers. We propose the new metric using probabilistic interpretation of precision, recall, specificity, and negative predictive value.
Mikolaj Sitarz
semanticscholar   +1 more source

Estimating the Uncertainty of Average F1 Scores [PDF]

Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015
In multi-class text classification, the performance (effectiveness) of a classifier is usually measured by micro-averaged and macro-averaged F1 scores. However, the scores themselves do not tell us how reliable they are in terms of forecasting the classifier's future performance on unseen data.
Zhang, Dell, Wang, J., Zhao, X.
openaire   +1 more source

Comparative analysis of models predicting the risks of early poor outcome of deceased-donor liver transplantation: a retrospective single-center study

Трансплантология (Москва), 2023
Rationale. The risk of early graft loss determines the specifics and plan of anesthesiological assistance, intensive therapy, and overall the feasibility of liver transplantation.
A. I. Sushkov, M. V. Popov, V. S. Rudakov, D. S. Svetlakova, A. N. Pashkov, A. S. Lukianchikova, M. Muktarzhan, K. K. Gubarev, V. E. Syutkin, A. I. Artemyev, S. E. Voskanyan   +10 more
doaj   +1 more source