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ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS
BarekengOne problem in classifying stunting data is that the data used does not have a balanced proportion. This study aims to apply the logistic regression classification method with ordinal scale response variables to overcome class imbalance through the ...
Luthfia Hanun Yuli Arini +3 more
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Ordinal logistic regression [PDF]
American Journal of Orthodontics and Dentofacial Orthopedics, 2018 Koletsi D, Pandis N
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Modeling Uncertainty in Ordinal Regression: The Uncertainty Rating Scale Model
StatsIn questionnaires, respondents sometimes feel uncertain about which category to choose and may respond randomly. Including uncertainty in the modeling of response behavior aims to obtain more accurate estimates of the impact of explanatory variables on ...
Gerhard Tutz
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Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer
International Journal of Computer Science in Sport, 2017 Ordinal regression models are frequently used in academic literature to model outcomes of soccer matches, and seem to be preferred over nominal models. One reason is that, obviously, there is a natural hierarchy of outcomes, with victory being preferred ...
Hvattum L. M.
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Regression and Decomposition with Ordinal Health Outcomes
Journal of Health EconomicsAlthough ordinal health outcome values are categories like "poor" health or "moderate" depression, they are often assigned values 1,2,3,… for convenience. We provide results on interpretation of subsequent analysis based on ordinary least squares (OLS) regression.
Qian Wu, David M. Kaplan
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Preoperative prediction of gastric cancer T-staging based on ordinal regression models
InformatikaObjectives. Study of ordinal regressions presented via the set of binary logistic regressions and their application in clinical practice for T-staging of gastric cancer.Methods.
O. V. Krasko +2 more
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Ordinal logistic regression [PDF]
Journal of Family Planning and Reproductive Health Care, 2008 openaire +2 more sources
London Measure of Unplanned Pregnancy: guidance for its use as an outcome measure
Patient Related Outcome Measures, 2017 Jennifer A Hall,1 Geraldine Barrett,1 Andrew Copas,2 Judith Stephenson1 1Research Department of Reproductive Health, UCL Institute for Women’s Health, 2Department of Infection & Population Health, UCL Institute of Epidemiology and Health Care ...
Hall JA +3 more
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Collaborative ordinal regression
Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006Ordinal regression has become an effective way of learning user preferences, but most research focuses on single regression problems. In this paper we introduce collaborative ordinal regression, where multiple ordinal regression tasks are handled simultaneously.
Shipeng Yu +3 more
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2010
Within disaggregation–aggregation approach, ordinal regression aims at inducing parameters of a preference model, for example, parameters of a value function, which represent some holistic preference comparisons of alternatives given by the Decision Maker (DM).
Greco, Salvatore +3 more
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Within disaggregation–aggregation approach, ordinal regression aims at inducing parameters of a preference model, for example, parameters of a value function, which represent some holistic preference comparisons of alternatives given by the Decision Maker (DM).
Greco, Salvatore +3 more
openaire +1 more source