Data and code used in this article. by Feng Shen (151470)

“…<div><p>In this study, the traditional lag structure selection method in the Mixed Data Sampling (MIDAS) regression model for forecasting GDP was replaced with a machine learning approach using the particle swarm optimization algorithm (PSO). …”

Data and code. by Hao Cao (2248066)

ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

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Pseudo Code of RBMO. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

data_code.zip by Mengmeng Gong (20129994)

data_codes.rar by Zhe Li (22011704)

Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Data&Code by anonymous author (20478659)

Code. by Shamsuz Zoha (22339469)

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Machine learning algorithms hyperparameter values. by Mahbub E. Sobhani (22278967)

ICD-10 codes for MACE definition. by Gilson Yuuji Shimizu (19837946)

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Coding schematic. by Dongyan Wang (195482)

“…To enhance the reliability of intercity railway operations and reduce spare parts management costs, this paper employs the Zebra Optimization Algorithm-Least Squares Support Vector Machine (ZOA-LSSVM) to analyze the reliability of the important Weibull distribution spare parts of the intercity railway and fit the parameters of the reliability function for spare parts. …”

code & data for GeoEvo by Wenhui Zhang (20474243)

Data and code resources. by Sam Hall-McMaster (10343795)

Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

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Research on Differential Genes in Rheumatoid Arthritis Synovium Based on Multiple Machine Learning Algorithms by Fangzheng He (20736611)

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. by Chengting Wu (21485612)

Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

Subjects:

Research on Differential Genes in Rheumatoid Arthritis Synovium Based on Multiple Machine Learning Algorithms by Fangzheng He (20736611)