Prognostic Value of a Classification and Regression Tree Model in Patients with Open-Globe Injuries by Danica T. Esteban, MD, Karlo Marco D. Claudio, MD, Cheryl A. Arcinue, MD

“…Objective: To evaluate the accuracy of the Classification and Regression Tree (CART) model in prognosticating visual outcomes of patients with open-globe injuries Methods: This was a retrospective, single-center, cohort study of patients with open-globe injuries seen over a two-year period. …”
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Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…In addition, by combining classification and regression, The input data can be regression forecast on a more uniform scale, and the problem of large prediction deviation in regression prediction is improved.…”
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Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts by Antonio Herrera-Martin, Radu V. Craiu, Gwendolyn M. Eadie, David C. Stenning, Derek Bingham, B. M. Gaensler, Ziggy Pleunis, Paul Scholz, Ryan Mckinven, Bikash Kharel, Kiyoshi W. Masui

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EVALUATION OF MULTIVARIATE ADAPTIVE REGRESSION SPLINES ON IMBALANCED DATASET FOR POVERTY CLASSIFICATION IN BENGKULU PROVINCE by Idhia Sriliana, Sigit Nugroho, Winalia Agwil, Esther Damayanti Sihombing

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PERFORMANCE COMPARISON OF DECISION TREE AND LOGISTIC REGRESSION METHODS FOR CLASSIFICATION OF SNP GENETIC DATA by Adi Setiawan, Febi Setivani, Tundjung Mahatma

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Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys by Yan Zhang, Cheng Wen, Pengfei Dang, Xue Jiang, Dezhen Xue, Yanjing Su

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CLASSIFICATION OF STUNTING USING GEOGRAPHICALLY WEIGHTED REGRESSION-KRIGING CASE STUDY: STUNTING IN EAST JAVA by Atiek Iriany, Wigbertus Ngabu, Danang Arianto, Arditama Putra

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Explainable olive grove and grapevine pest forecasting through machine learning-based classification and regression by F. Rodríguez-Díaz, A.M. Chacón-Maldonado, A.R. Troncoso-García, G. Asencio-Cortés

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Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

“…To compare the quality of logistic regression models and the classification tree, the areas under the ROC curve and confidence intervals were estimated.Results. …”
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Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

“…SEM micrographs of three commercially used steels EN3, EN353, and 20MnCr5 were acquired at magnifications of 5000×, 10,000×, and 20,000×. …”
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Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization. by Weihao Wang, Wei Zhu, Janos Hajagos, Laura Fochtmann, Farrukh M Koraishy

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Predicting wine quality from terrain characteristics with regression trees by Reiner Schwarz

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COMPARISON OF ANN METHOD AND LOGISTIC REGRESSION METHOD ON SINGLE NUCLEOTIDE POLYMORPHISM GENETIC DATA by Adi Setiawan, Rachel Wulan Nirmalasari Wijaya

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Morphometric Assessment of Occipital Condyles and Foramen Magnum Reveals Enhanced Sexual Dimorphism Detection via 3D Imaging: A Systematic Review and Meta-Analysis Utilizing Classification and Regression Trees by Christos Tsiouris, George Triantafyllou, Nektaria Karangeli, George G. Botis, Panagiotis Papadopoulos-Manolarakis, Theodosis Kalamatianos, George Tsakotos, Maria Piagkou

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Application of the Fuzzy Classification for Linear Hybrid Prediction Methods by A. S. Taskin, E. M. Mirkes, N. Y. Sirotinina

“…The test results on three different databases showed that the use of generated attributes for the classical linear regression resulted in the significant increase of the forecasting accuracy. …”
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Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression by Phumzile T. Mgcima, Wilson Tsakane Mongwe, Peter O. Olukanmi

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Classification and Regression Tree Analysis in Adult Hemophagocytic Syndrome: Identifying Acute Heart Failure Predictors in ICU Patients by Kilincer Bozgul SM, Kurtulmus IA, Yargucu Zihni F, Akad Soyer N, Yagmur B, Gunes A, Koymen G, Bozkurt D

“…This study aimed to identify predictors of acute heart failure in HPS patients using classification and regression tree (CART) analysis.Methods: A retrospective analysis was performed on 146 HPS patients without a diagnosis of HF. …”
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Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models by Qing Zhang, Qi Li, Zhilong Yu, Ruibo Yang, Emmanuel Eric Pazo, Yue Huang, Hui Liu, Chen Zhang, Salissou Moutari, Shaozhen Zhao

“…Regression and classification models were developed using gradient boosting, random forest, and CatBoost algorithms. …”
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A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression by Hilario Gómez-Moreno, Pedro Gil-Jiménez, Sergio Lafuente-Arroyo, Roberto López-Sastre, Saturnino Maldonado-Bascón

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Regression and classification of Windkessel parameters from non-invasive cardiovascular quantities using a fully connected neural network by Ahmed Gdoura, Stefan Bernhard

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