ArticleSensors (Basel, Switzerland)2023
A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross-Validation in Imbalanced Learning.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Article
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- An integrative approach for rapid authentication of different parts ofFrontiers in chemistry · 2026Article
- Interpretable machine learning for multiclass trajectory prediction in cardiovascular-kidney-metabolic syndrome stage: development and external validation.Frontiers in endocrinology · 2026Article
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- The Vibrational Signature of Alzheimer's Disease: A Computational Approach Based on Sonification, Laser Projection, and Computer Vision Analysis.Biomimetics (Basel, Switzerland) · 2025Article
- Machine learning-driven prediction of substrates for enzymes introducing or removing protein post-translational modifications.Communications chemistry · 2025Article
- Prediction of QTc Prolongation in Acute Poisoning with Atypical Antipsychotics Using Machine Learning Techniques: A Study from Poison Control Center.Cardiovascular toxicology · 2025Article
- ChronoSynthNet: a dual-task deep learning model development and validation study for predicting real-time norepinephrine dosage and the early detection of hypotension in patients with septic shock.Cardiovascular diagnosis and therapy · 2025Article
- Directional Lighting-Based Deep Learning Models for Crack and Spalling Classification.Journal of imaging · 2025Article
- Advancements in Parkinson's Disease Prediction Using Machine Learning: A Neurological Perspective.Healthcare informatics research · 2025Article
- Evaluating an Early Risk Model for Uncomplicated Hypertension in Pregnancy Based on Nighttime Blood Pressure, Uric Acid, and Angiogenesis-Related Factors.International journal of molecular sciences · 2025Article
- An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance.Bioengineering (Basel, Switzerland) · 2025Article
- Deep learning system for the differential diagnosis of oral mucosal lesions through clinical photographic imaging.Journal of dental sciences · 2025Article
- Can radiomics in brain magnetic resonance imaging predict the mutational status of primary lung cancer based on brain metastasis?Polish journal of radiology · 2025Article
- Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability.Journal of imaging informatics in medicine · 2024Article
- PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI.Heliyon · 2024Article
- Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms.BMC medical research methodology · 2024Article
- Deep convolutional neural network for weld defect classification in radiographic images.Heliyon · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, the solution to many practical problems relies on machine learning tools. However, compiling the appropriate training data set for real-world classification problems is challenging because collecting the right amount of data for each class is often difficult or even impossible. In such cases, we can easily face the problem of imbalanced learning. There are many methods in the literature for solving the imbalanced learning problem, so it has become a serious question how to compare the performance of the imbalanced learning methods. Inadequate validation techniques can provide misleading results (e.g., due to data shift), which leads to the development of methods designed for imbalanced data sets, such as stratified cross-validation (SCV) and distribution optimally balanced SCV (DOB-SCV). Previous studies have shown that higher classification performance scores (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.