The DOI matches its Crossref record.
An Analysis of Variance Test for Normality (Complete Samples)
Abstract
S. S. SHAPIRO, M. B. WILK; An analysis of variance test for normality (complete samples)†, Biometrika, Volume 52, Issue 3-4, 1 December 1965, Pages 591–611
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The distribution approximates a normal distribution as the null hypothesis is not rejected (p=0.515) in the Shapiro-Wilk test of normality [84].”
From Predicting Brain Functional Connectivity Using Mobile Sensing (2020) · cites this paper as [84]
Citations
Cited by
Sorted by citations
Items 301–400 of 1,012
Yang, X., Yang, X., Yang, Y., et al. (2022) · Applied Mathematical Modelling · doi:10.1016/j.apm.2022.07.024 · Cited by 58
Effect of Brief Interpersonal Therapy on Depression During Pregnancy
Hankin, B. L., Demers, C. H., Hennessey, E. P., Perzow, S. E. D., Curran, M. C., Gallop, R., Hoffman, M. C., & Davis, E. P. (2023) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.0702 · Cited by 64
Nominal versus Interacting Electronic Fraud Brainstorming in Hierarchical Audit Teams
Chen, C. X., Trotman, K. T., & Zhou, F. H. (2014) · The Accounting Review · doi:10.2308/accr-50855 · Cited by 52
An Exploration of Human Well-Being Bundles as Identifiers of Ecosystem Service Use Patterns
Hamann, M., Biggs, R., & Reyers, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163476 · Cited by 61
Choice of a classifier, based on properties of a dataset: case study-speech emotion recognition
Koolagudi, S. G., Murthy, Y. V. S., & Bhaskar, S. P. (2018) · International Journal of Speech Technology · doi:10.1007/s10772-018-9495-8 · Cited by 60
Cuomo, I., Kotzalidis, G. D., Persis, S. D., Piacentino, D., Perrini, F., Amici, E., & Filippis, S. D. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s171002 · Cited by 58
The effect of the London congestion charge on road casualties: an intervention analysis
Noland, R. B., Quddus, M., & Ochieng, W. Y. (2007) · Transportation · doi:10.1007/s11116-007-9133-9 · Cited by 58
An Optimum Test Property of Two Weil-Known Statistics
Uthoff, V. A. (1970) · Journal of the American Statistical Association · doi:10.1080/01621459.1970.10481189 · Cited by 58
Christiansen, S., Bouzinova, E. V., Palme, R., & Wiborg, O. (2012) · Stress · doi:10.3109/10253890.2011.654370 · Cited by 55
OECD. (2007) · doi:10.1787/9789264067356-en · Cited by 57
Ebtehaj, I., Bonakdari, H., Zeynoddin, M., Gharabaghi, B., & Azari, A. (2019) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-019-02361-z · Cited by 57
Logan, R., Davey, P. G., Souza, N. D., Baird, D., Guthrie, B., & Bell, S. (2019) · Clinical Kidney Journal · doi:10.1093/ckj/sfz117 · Cited by 58
Stamps, B. W., Bojanowski, C. L., Drake, C. A., Nunn, H. S., Lloyd, P. F., Floyd, J. G., Emmerich, K. A., Neal, A. R., Crookes‐Goodson, W. J., & Stevenson, B. S. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00167 · Cited by 60
Scozzese, F., Tubaldi, E., & Dall’Asta, A. (2020) · Bulletin of Earthquake Engineering · doi:10.1007/s10518-020-00815-1 · Cited by 57
Krohn, S., Froeling, M., Leemans, A., Ostwald, D., Villoslada, P., Finke, C., & Esteban, F. J. (2019) · Human Brain Mapping · doi:10.1002/hbm.24599 · Cited by 56
On the use of virtual reality in software visualization: The case of the city metaphor
Romano, S., Capece, N., Erra, U., Scanniello, G., & Lanza, M. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2019.06.007 · Cited by 56
Ma, C., Gao, L., Wang, H., et al. (2020) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2020.08.018 · Cited by 56
Effect of lighting illuminance and colour temperature on mental workload in an office setting
Bao, J., Song, X., Li, Y., Bai, Y., & Zhou, Q. (2021) · Scientific Reports · doi:10.1038/s41598-021-94795-0 · Cited by 60
Casado-García, Á., Heras, J., Milella, A., & Marani, R. (2022) · Precision Agriculture · doi:10.1007/s11119-022-09929-9 · Cited by 60
Saturno, D. F., Cerezini, P., da Silva, P. M., et al. (2017) · Journal of Plant Nutrition · doi:10.1080/01904167.2017.1310890 · Cited by 56
Sex differences in ability tilt in the right tail of cognitive abilities: A 35-year examination
Wai, J., Hodges, J., & Makel, M. C. (2018) · Intelligence · doi:10.1016/j.intell.2018.02.003 · Cited by 56
Maggioni, E., Cobden, R., Dmitrenko, D., & Obrist, M. (2018) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3242969.3242975 · Cited by 59
Host Phylogeny, Geographic Overlap, and Roost Sharing Shape Parasite Communities in European Bats
McKee, C., Krawczyk, A. I., Sándor, A. D., Görföl, T., Földvári, M., Földvári, G., Dekeukeleire, D., Haarsma, A., Kosoy, M., Webb, C. T., et al. (2019) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2019.00069 · Cited by 57
Overrepresentation of Native American Children in Foster Care: An Independent Construct?
Lawler, M. J., LaPlante, K. D., Giger, J. T., & Norris, D. H. (2012) · Journal of Ethnic & Cultural Diversity in Social Work · doi:10.1080/15313204.2012.647344 · Cited by 55
Liu, R., Lou, S., Li, X., et al. (2019) · Journal of Rock Mechanics and Geotechnical Engineering · doi:10.1016/j.jrmge.2019.07.007 · Cited by 55
Guarino, F., Improta, G., Triassi, M., Cicatelli, A., & Castiglione, S. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01677 · Cited by 67
Naseri, A., Jamei, M., Ahmadianfar, I., & Behbahani, M. (2020) · Engineering With Computers · doi:10.1007/s00366-020-01163-z · Cited by 56
David, L., & Weinstein, N. (2023) · European Journal of Psychology of Education · doi:10.1007/s10212-023-00734-0 · Cited by 125
Froger, C., Ayrault, S., Evrard, O., Monvoisin, G., Bordier, L., Lefèvre, I., & Quantin, C. (2018) · Environmental Science and Pollution Research · doi:10.1007/s11356-018-2892-3 · Cited by 55
A comparative analysis of governance and leadership in agricultural development policy networks
Rudnick, J., Niles, M. T., Lubell, M. N., et al. (2019) · World Development · doi:10.1016/j.worlddev.2018.12.015 · Cited by 55
Residuals and Influence in Regression.
Robinson, A., Cook, R. D., & Weisberg, S. (1984) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2981746 · Cited by 55
Comparison of Different Types of Augmented Reality Visualizations for Instructions
Jasche, F., Hoffmann, S., Ludwig, T. G., & Wulf, V. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445724 · Cited by 60
The role of renewable energy policies in TACKLING energy poverty in the European UNION
Simionescu, M., Rãdulescu, M., Cifuentes‐Faura, J., & Balsalobre‐Lorente, D. (2023) · Energy Policy · doi:10.1016/j.enpol.2023.113826 · Cited by 56
Collective action and the risk of ecosystem regime shifts: insights from a laboratory experiment
Schill, C., Lindahl, T., & Crépin, A. (2015) · Ecology and Society · doi:10.5751/es-07318-200148 · Cited by 53
Tremblay, J. A., Ibarzabal, J., Dussault, C., & Savard, J. (2009) · Avian Conservation and Ecology · doi:10.5751/ace-00297-040102 · Cited by 52
Mohamed, A. A.-R., Mohamed, W. A. M., & Khater, S. I. (2016) · Environmental Pollution · doi:10.1016/j.envpol.2016.08.082 · Cited by 54
Biases in genome reconstruction from metagenomic data
Nelson, W. C., Tully, B., & Mobberley, J. M. (2020) · PeerJ · doi:10.7717/peerj.10119 · Cited by 53
Connectome-based models predict attentional control in aging adults
Fountain‐Zaragoza, S., Samimy, S., Rosenberg, M. D., & Prakash, R. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.074 · Cited by 55
Picciafuoco, T., Morbidelli, R., Flammini, A., Saltalippi, C., Corradini, C., Strauß, P., & Blöschl, G. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2018.12.044 · Cited by 54
Improving change prediction models with code smell-related information
Catolino, G., Palomba, F., Fontana, F. A., Lucia, A. D., Zaidman, A., & Ferrucci, F. (2019) · Empirical Software Engineering · doi:10.1007/s10664-019-09739-0 · Cited by 54
STEM Identity Exploration through an Immersive Learning Environment
Talafian, H., Moy, M., Woodard, M. A., & Foster, A. N. (2019) · Journal for STEM Education Research · doi:10.1007/s41979-019-00018-7 · Cited by 60
Correlation type gogdness-of-fit statistics with censored sampling
Smith, R. M., & Bain, L. J. (1976) · Communication in Statistics- Theory and Methods · doi:10.1080/03610927608827337 · Cited by 54
Coufal, P. (2022) · Mathematics · doi:10.3390/math10234618 · Cited by 55
Assessing concrete strength variability in existing structures based on the results of NDTs
Pereira, N., & Romão, X. (2018) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2018.04.055 · Cited by 53
Analysis of particle interaction in particle swarm optimization
Chen, Y.-P., & Jiang, P. (2010) · Theoretical Computer Science · doi:10.1016/j.tcs.2010.03.003 · Cited by 52
Skrzypczak‐Pietraszek, E., Słota, J., & Pietraszek, J. (2014) · Acta Biochimica Polonica · doi:10.18388/abp.2014_1922 · Cited by 53
Black-Box String Test Case Generation through a Multi-Objective Optimization
Shahbazi, A., & Miller, J. T. (2015) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2015.2487958 · Cited by 52
Global diversity and distribution of longhorn beetles (Coleoptera: Cerambycidae)
Rossa, R., & Goczał, J. (2021) · The European Zoological Journal · doi:10.1080/24750263.2021.1883129 · Cited by 53
GRAZING IMPACTS ON INFILTRATION IN MIXED PRAIRIE AND FESCUE GRASSLAND ECOSYSTEMS OF ALBERTA
Naeth, M. A., Rothwell, R. L., Chanasyk, D. S., et al. (1990) · Canadian Journal of Soil Science · doi:10.4141/cjss90-062 · Cited by 53
Ishola, N. B., Okeleye, A. A., Osunleke, A. S., & Betiku, E. (2019) · Neural Computing and Applications · doi:10.1007/s00521-018-03989-7 · Cited by 50
Cantero, B., del Bosque, I. F. S., Matías, A., et al. (2019) · Archives of Civil and Mechanical Engineering · doi:10.1016/j.acme.2019.08.004 · Cited by 52
Lam, C., Harder, T., & Qian, P. (2003) · Marine Ecology Progress Series · doi:10.3354/meps263083 · Cited by 52
A study on using data clustering for feature extraction to improve the quality of classification
Piernik, M., & Morzy, T. (2021) · Knowledge and Information Systems · doi:10.1007/s10115-021-01572-6 · Cited by 51
Robots Enact Malignant Stereotypes
Hundt, A., Agnew, W. S., Zeng, V., Kacianka, S., & Gombolay, M. (2022) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3531146.3533138 · Cited by 59
Afifah, S., Mudzakir, A., & Nandiyanto, A. B. D. (2022) · Indonesian Journal of Teaching in Science · doi:10.17509/ijotis.v2i1.45895 · Cited by 51
Barisch‐Fritz, B., Schmeltzpfenning, T., Plank, C., & Grau, S. (2014) · Ergonomics · doi:10.1080/00140139.2014.899629 · Cited by 51
Bacchetta, G., Cao, A., Cappai, G., et al. (2012) · Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology · doi:10.1080/11263504.2012.704886 · Cited by 51
Salo, C. D., & Birman, D. (2015) · American Journal of Community Psychology · doi:10.1007/s10464-015-9760-9 · Cited by 52
Empirical evaluation of two best practices for energy-efficient software development
Procaccianti, G., Fernández, H., & Lago, P. (2016) · Journal of Systems and Software · doi:10.1016/j.jss.2016.02.035 · Cited by 50
Galdiero, E., Falanga, A., Siciliano, A., Maselli, V., Guida, M., Carotenuto, R., Tussellino, M., Lombardi, L., Benvenuto, G., & Galdiero, S. (2017) · International Journal of Nanomedicine · doi:10.2147/ijn.s127226 · Cited by 50
Stolle, J., Goseberg, N., Nistor, I., et al. (2017) · Journal of Waterway Port Coastal and Ocean Engineering · doi:10.1061/(asce)ww.1943-5460.0000428 · Cited by 51
Chan, C. K. Y., & Luk, L. Y. Y. (2020) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2020.1784392 · Cited by 51
Khalfaoui, R., Solarin, S. A., Al‐Qadasi, A. A., & Jabeur, S. B. (2022) · Annals of Operations Research · doi:10.1007/s10479-021-04446-w · Cited by 51
A power comparison of various normality tests
Ahmad, F., & Khan, R. A. (2015) · Pakistan Journal of Statistics and Operation Research · doi:10.18187/pjsor.v11i3.845 · Cited by 51
Caut, S., Guirlet, E., Jouquet, P., et al. (2006) · Canadian Journal of Zoology · doi:10.1139/z06-063 · Cited by 51
SHIFTING PATTERNS IN GENETIC CONTROL AT THE EMBRYO-ALEVIN BOUNDARY IN BROOK CHARR
Perry, G. M. L., Audet, C., Laplatte, B., & Bernatchez, L. (2004) · Evolution · doi:10.1111/j.0014-3820.2004.tb00485.x · Cited by 52
Daly, C., Higgins, V., Adeli, K., et al. (2017) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2017.07.005 · Cited by 50
A fine-grained data set and analysis of tangling in bug fixing commits
Herbold, S., Trautsch, A., Ledel, B., Aghamohammadi, A., Ghaleb, T. A., Chahal, K. K., Bossenmaier, T., Nagaria, B., Makedonski, P., Ahmadabadi, M. N., et al. (2022) · Empirical Software Engineering · doi:10.1007/s10664-021-10083-5 · Cited by 50
Augmented Reality and its Applications in Education: A Systematic Survey
Zulfiqar, F., Raza, R., Khan, M. O., Arif, M., Alvi, A., & Alam, T. (2023) · IEEE Access · doi:10.1109/access.2023.3331218 · Cited by 51
Skov, K., Wardman, J., Healey, M., McBride, A. L., Bierowiec, T., Cooper, J. M., Edeh, I. G., George, D., Kelland, M., Mann, J. I., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0295031 · Cited by 63
Bham, G. H., Leu, M. C., Vallati, M., & Mathur, D. R. (2014) · Journal of Safety Research · doi:10.1016/j.jsr.2014.02.012 · Cited by 50
Chin, K.-Y., Lee, K.-F., & Chen, Y. (2015) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2015.2416717 · Cited by 50
Heterogeneities Shape Passive Intracellular Transport
Witzel, P., Götz, M., Lanoiselée, Y., Franosch, T., Grebenkov, D. S., & Heinrich, D. (2019) · Biophysical Journal · doi:10.1016/j.bpj.2019.06.009 · Cited by 51
Rehman, M. U. (2020) · Resources Policy · doi:10.1016/j.resourpol.2020.101737 · Cited by 51
A BCI video game using neurofeedback improves the attention of children with autism
Mercado, J., Escobedo, L., & Tentori, M. E. (2020) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-020-00339-7 · Cited by 52
Improved grade outcomes with an e-mailed “grade nudge”
Smith, B. O., White, D. R., Kuzyk, P., & TIERNEY, J. E. (2017) · The Journal of Economic Education · doi:10.1080/00220485.2017.1397570 · Cited by 50
Olson, S. L., Wijesinha, M. A., Panthofer, A. M., Blackwelder, W. C., Upchurch, G. R., Terrin, M. L., Curci, J. A., Baxter, B. T., & Matsumura, J. S. (2021) · JAMA Surgery · doi:10.1001/jamasurg.2020.7190 · Cited by 51
The effects of different personal data categories on information privacy concern and disclosure
Chua, H. N., Ooi, J. S., & Herbland, A. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102453 · Cited by 55
Marobhe, M. I. (2021) · China Finance Review International · doi:10.1108/cfri-09-2021-0187 · Cited by 51
Minello, T. J. (1993) · Marine Ecology Progress Series · doi:10.3354/meps101099 · Cited by 50
Field experiments on the colonization of meiofauna into sediment depressions
Sun, B., & Fleeger, J. (1994) · Marine Ecology Progress Series · doi:10.3354/meps110167 · Cited by 50
Barbato, R. A., Jones, R. M., Douglas, T. A., Doherty, S. J., Messan, K. S., Foley, K., Perkins, E. J., Thurston, A. K., & García‐Reyero, N. (2022) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2022.108605 · Cited by 53
Interpersonal Psychotherapy-Adolescent Skills Training: Anxiety Outcomes and Impact of Comorbidity
Young, J. F., Makover, H. B., Cohen, J. R., Mufson, L. H., Gallop, R., & Benas, J. S. (2012) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2012.704843 · Cited by 49
Ndhlovu, T., Milton-Dean, S. J., & Esler, K. J. (2011) · African Journal of Range and Forage Science · doi:10.2989/10220119.2011.642095 · Cited by 49
Zerba, K. E., Ferrell, R. E., & Sing, C. F. (2000) · Human Genetics · doi:10.1007/s004390000394 · Cited by 49
Measurements of tsunami-borne debris impact on structures using an embedded accelerometer
Shafiei, S., Melville, B. W., Shamseldin, A. Y., et al. (2016) · Journal of Hydraulic Research · doi:10.1080/00221686.2016.1170071 · Cited by 49
Smith, J. G., Plover, C. M., McChesney, M. C., & Lake, E. T. (2019) · Public Health Nursing · doi:10.1111/phn.12612 · Cited by 49
Petersen, J. Z., Varo, C., Skovsen, C. F., Ott, C. V., Kjærstad, H. L., Vieta, E., Harmer, C. J., Knudsen, G. M., Kessing, L. V., Macoveanu, J., et al. (2021) · Bipolar Disorders · doi:10.1111/bdi.13100 · Cited by 51
Nam, C., Zhang, B., Chow, T., Ye, F., Huang, Y., Guo, Z., Li, W., Rong, W., Hu, X., & Poon, W.-S. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00930-3 · Cited by 49
Status of urban ecology in Africa: A systematic review
Awoyemi, A. G., & Ibáñez‐Álamo, J. D. (2023) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2023.104707 · Cited by 53
Dedering, K., & Pietsch, M. (2023) · Educational Review · doi:10.1080/00131911.2023.2195593 · Cited by 78
Wooldridge, J., Louw, P. J. E., & Conradie, W. J. (2016) · South African Journal of Enology and Viticulture · doi:10.21548/31-1-1399 · Cited by 48
Wiese, I., da Silva, J. T., Steinmacher, I., et al. (2016) · IEEE International Conference on Software Maintenance and Evolution (ICSME) · doi:10.1109/icsme.2016.13 · Cited by 48
Virtual Reality Interfaces for Interacting with Three-Dimensional Graphs
Erra, U., Malandrino, D., & Pepe, L. (2018) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2018.1429061 · Cited by 48
Appearance of aging signs in differently pigmented facial skin by a novel imaging system
Campiche, R., Trevisan, S., Séroul, P., Rawlings, A. V., Adnet, C., Imfeld, D., & Voegeli, R. (2018) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.12806 · Cited by 48
Dziwenka, M. M., Coppock, R. W., McCorkle, A. M., Palumbo, E., Ramírez, C. V., & Lermer, S. (2020) · Toxicology Reports · doi:10.1016/j.toxrep.2020.02.014 · Cited by 56
Evaluation of Student Feedback Within a MOOC Using Sentiment Analysis and Target Groups
Lundqvist, K. Ø., Liyanagunawardena, T. R., & Starkey, L. (2020) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v21i3.4783 · Cited by 56
Assessing Application Uniformity of a Variable Rate Irrigation System in a Windy Location
O’Shaughnessy, S. A., Pereira, Y. F. U., Evett, S. R., et al. (2013) · Applied Engineering in Agriculture · doi:10.13031/aea.29.9931 · Cited by 48
A Study of the Shapiro–Wilk Test for the Detection of Pulsed Sinusoidal Radio Frequency Interference
Güner, B., Frankford, M. T., & Johnson, J. T. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2006906 · Cited by 48
Metadata
- Authors
- Shapiro, S. S., & Wilk, M. B.
- Affiliations
- General Electric (United States) (US)
- Venue
- Biometrika
- Publisher
- JSTOR
- Published
- 1965-12
- Volume
- 52
- Issue
- 3/4
- Pages
- 591
- ISSN
- 0006-3444 (ISSN-L)
- OpenAlex
- W2168745915
- Cited by
- 23,469
- References
- 0
- Citations by year
- 2026: 2085 · 2025: 2075 · 2024: 1771 · 2023: 1642 · 2022: 1600 · 2021: 1571 · 2020: 1447 · 2019: 1121 · 2018: 979 · 2017: 867 · 2016: 836 · 2015: 762 · 2014: 740 · 2013: 621 · 2012: 525
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrika (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- normality testing, Shapiro-Wilk test, analysis of variance, complete samples, multivariate normality, goodness-of-fit tests
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review