Results 121 to 130 of about 2,609,891 (296)

ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS

Barekeng
One 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, Solimun Solimun, Achmad Efendi, Adji Achmad Rinaldo Fernandes   +3 more
doaj   +1 more source

Predicted means from ordinal regression (JH)

, 2018
Predicted means from ordinal regression for juvenile density by habitat quality treatment ...
Monroe, J. Grey, Vahsen, Megan L., J. Grey Monroe (3286101), Ellyn V. Bitume (6001271), Stacy B. Endriss (4340656), Kathryn G. Turner (3274431), Bitume, Ellyn V., Norton, Andrew P., Megan L. Vahsen (5026712), Hufbauer, Ruth A., Turner, Kathryn G., Endriss, Stacy B., Andrew P. Norton (3309249), Ruth A. Hufbauer (616306)   +13 more
core   +1 more source

Ordinal regression Part 1: Introduction

, 2021
In this video, Dr Heini Väisänen introduces the method of ordinal regression and explains when to use it and what kind of variables are needed when used.
Väisänen, Heini
core   +1 more source

What Really Drives Agri‐Environment‐Climate Measures' Adoption? Mandatory Requirements, Behavioral Traits, and Structural Factors in the CAP Green Architecture

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT To increase farmer adoption of green practices, the EU Common Agricultural Policy includes both mandatory (conditionality) and voluntary instruments (eco‐schemes–ECS– and more demanding, multi‐annual agri‐environment‐climate measures –AECM–). Building on the experiment of Barreiro‐Hurle et al.
L. Sanchez‐Mata, M. Rodríguez‐Entrena, M. Espinosa‐Goded, F. J. Dessart, J. Barreiro‐Hurlé   +4 more
wiley   +1 more source

STUDENT SATISFACTION ANALYSIS WITH GENETIC ALGORITHM-BASED DATA AUGMENTATION AND REGRESSION MODELS [PDF]

ICTACT Journal on Soft Computing
Student satisfaction plays an important role in determining the quality, retention, and reputation of an institution. However, limited survey data can reduce the accuracy of predictive models.
P. Priyadarshini, K.T. Veeramanju
doaj   +1 more source

Multilevel mixed effect ordinal logistic regression.

Multilevel mixed effect ordinal logistic regression.
Samson Shumba (13124416), Thomas Osman Miyoba (18265168), Jessy Mutale Nkonde (18265174), Peter Mumba (10949579), Stephen Jere (18265171), Vanessa Moonga (18265165)   +5 more
core   +1 more source

Ordinal logistic regression [PDF]

American Journal of Orthodontics and Dentofacial Orthopedics, 2018
Koletsi D, Pandis N
openaire   +3 more sources

Calibration of Ordinal Regression Networks

CoRR
Recent studies have shown that deep neural networks are not well-calibrated and often produce over-confident predictions. The miscalibration issue primarily stems from using cross-entropy in classifications, which aims to align predicted softmax probabilities with one-hot labels.
Daehwan Kim, Haejun Chung, Ikbeom Jang
openaire   +2 more sources

Farmers' Preferences for Gene Editing Crops and Influencing Factors

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele, Vigani Mauro   +1 more
wiley   +1 more source

Differentiated Impacts of EU Rural Development Measures: A Finite Mixture Evaluation of Italian Olive Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley   +1 more source