ArticleScience advances2025
Distributional bias compromises leave-one-out cross-validation.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
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- Multiparametric MRI radiomics for noninvasive risk stratification of pediatric neuroblastoma: a pilot study.Scientific reports · 2026Article
- Beyond the blood: Tissue-resident immunity shapes SARS-CoV-2 vaccine antibody responses.bioRxiv : the preprint server for biology · 2026Article
- Composition Descriptors and Cultivar Transferability in Machine-Learning Models of Ultrasonication-Induced Functional Properties of Rice Flour.Foods (Basel, Switzerland) · 2026Article
- Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach.Diagnostics (Basel, Switzerland) · 2026Article
- Machine learning-driven predictive modeling and process optimization of one-pot biomass conversion to FDCA via heterogeneous catalysis.Scientific reports · 2026Article
- Application of machine learning to nanomaterial design with silver nanoprisms.Discover nano · 2026Article
- A new survival prediction model and exploration of hemodialysis quality control indicators in incident hemodialysis patients.PloS one · 2026Article
- Performance of Blood-Based Biomarkers for Human Circadian Pacemaker Phase: Training Sets Matter As Much As Feature-Selection Methods.Journal of biological rhythms · 2025Article
- Causal association of education, smoking, sedentary lifestyle and body mass index with disc degeneration: Mendelian randomization.Medicine · 2025Article
- Salivary Biosensing Opportunities for Predicting Cognitive and Physical Human Performance.Biosensors · 2025Article
- Early prediction of preeclampsia using the first trimester vaginal microbiome.bioRxiv : the preprint server for biology · 2024Article
- Article
Corrections and comments
- Update of
Authors and funding
3 authors.
Funding
Abstract
Cross-validation is a common method for evaluating machine learning models. "Leave-one-out cross-validation," in which each data instance is used to test a model trained on all other instances, is often used in data-scarce regimes. As common metrics such as the
Identifiers
What OpenQuestion holds
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.