A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis by Alali Abdulla Mousa Falah, Padmaja Dhyaram Lakshmi, Soni Mukesh, Khan Muhammad Attique, Khan Faheem, Ofori Isaac

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Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

“…As a result of the analysis, Logistic Regression, Decision Tree, SVM, and Neural Network achieve high accuracy rates of 86.2%, whereas XGBoost exhibits the lowest performance at 79.3%. …”
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Dual Model for International Roughness Index Classification and Prediction by Noelia Molinero-Pérez, Laura Montalbán-Domingo, Amalia Sanz-Benlloch, Tatiana García-Segura

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Development of a nomogram for predicting malignancy in BI-RADS 4 breast lesions using contrast-enhanced ultrasound and shear wave elastography parameters by Tiantian Ren, Zhenzhen Gao, Lufeng Yang, Weibo Cheng, Xiao Luo

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Hyperspectral Image Classification Based on Fractional Fourier Transform by Jing Liu, Lina Lian, Yuanyuan Li, Yi Liu

“…The experimental results of three real HRSIs show that the presented mixed feature SF²MF can effectively improve classification accuracy.…”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

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Pulmonary Disease Classification on Electrocardiograms Using Machine Learning by Aboubacar Abdoulaye Soumana, Prajwol Lamichhane, Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson

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Using binary classification to evaluate the quality of machine translators by Ran Li, Yihao Yang, Kelin Shen, Mohammad Hijji

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Combining the Performance Strengths of the Logistic Regression and Neural Network Models: A Medical Outcomes Approach by Wun Wong, Peter J. Fos, Frederick E. Petry

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Impact assessment of wastewater on water quality using new quality indices and multiple linear regression by Florinela Pirvu, Iuliana Paun, Vasile Iancu, Nicoleta Vasilache, Daniel Rudaru, Marcela Niculescu, Anda Gabriela Tenea, Florentina Laura Chiriac

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Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric Control by Christian Morrell, Evan Campbell, Ethan Eddy, Erik Scheme

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Comparison between Logistic Regression and K-Nearest Neighbour Techniques with Application on Thalassemia Patients in Mosul by Mohammed Al jbory, Hutheyfa Taha

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Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns by Zhe Wang, Xiang Que, Meifang Li, Zhuoming Liu, Xun Shi, Xiaogang Ma, Chao Fan, Yan Lin

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Proportional Stroke Mortality in Espírito Santo, Brazil: A 20-Year Joinpoint Regression Study by Casanova André Motopa Mpuhua, Orivaldo Florencio de Souza, Blanca Elena Guerrero Daboin, Italla Maria Pinheiro Bezerra, Marcelino Na Blei, Thiago Dias Sarti, Vithor Ely Bortolin da Silva, Luiz Carlos de Abreu

“…Temporal trends in stroke mortality were assessed using joinpoint regression analysis. <b>Results:</b> From 2000 to 2021, there was a significant reduction in proportional mortality from stroke, with an overall decrease of −3.7% (<i>p</i> < 0.001). …”
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Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery: A Systematic Review by Antonia Ivanda, Ljiljana Šerić, Maja Braović

“…, RQ2: “What are the commonly utilized MSI datasets for training CNN models in the context of processing multispectral satellite imagery?”, and RQ3: “How does the degree of CNN complexity impact the performance of classification, regression or segmentation tasks for multispectral satellite imagery?”. …”
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MAPPING OF GENDER INEQUALITY IN INDONESIA BASED ON INFLUENCING FACTORS USING GEOGRAPHICALLY WEIGHTED ORDINAL LOGISTIC REGRESSION by Hani Khaulasari, Fadjar Suhaeri

“…This research aims to map gender inequality in Indonesia based on influencing factors and compare classification accuracy results between the GWOLR and ordinal logistic regression model. …”
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…Logistic regression can yield good results in classification and prediction problems. …”
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Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms by E. S. Piskun, D. V. Nuansengsy, E. N. Kotsko

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DECODING DIGITAL LEARNING: A CART ANALYSIS INSIGHT by Sri Harini, Angga Dwi Mulyanto, Fachrur Rozi

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Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model by Mazin Fahad Alahmadi, Mustafa Tahsin Yilmaz

“…Based on the results of the classification analysis, 71.4% of the predictions were accurate with an AUC of 0.71 for the ABOVE class. …”
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