Comparison between methods with EA and methods without EA. حسب Pan Wang (198097)

الموضوعات:

Variables tested in the ML algorithms. حسب Gilson Yuuji Shimizu (19837946)

"…<div><p>Background</p><p>Studies of cardiovascular disease risk prediction by machine learning algorithms often do not assess their ability to generalize to other populations and few of them include an analysis of the interpretability of individual predictions. …"

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

"…This study selected the BRFSS (Behavioral Risk Factor Surveillance System) dataset, which is publicly available on the Kaggle platform, as the research object, aiming to provide a scientific basis for the early diagnosis and treatment of diabetes through advanced machine learning techniques. Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …"

Relative prediction error of candidate methods relative to the PNLR with a threshold of 0.05. حسب Lulu Pan (8977979)

الموضوعات:

Relative prediction error of candidate methods relative to the PNLR with a threshold of 0.1. حسب Lulu Pan (8977979)

الموضوعات:

Relative prediction error of candidate methods relative to the PNLR with a threshold of 0.15. حسب Lulu Pan (8977979)

الموضوعات:

Supplementary Material for: An Online Machine Learning Algorithm-Based Prognostic Predictive Model for Maintenance Hemodialysis Patients حسب figshare admin karger (2628495)

"…Six types of machine learning algorithms based predictive models were constructed for prognostic prediction. …"

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

PLS-SEM algorithm. حسب Ernest Nyamekye (18451455)

AUC results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. حسب Hui Yang (91136)

Accuracy results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. حسب Hui Yang (91136)

Confusion matrix for Random Forest algorithm (3000 Number of trees) highlights the classification accuracy across different classes. حسب Sadia Nazim (21440115)

Estimation error of candidate methods with a threshold of 0.1, showing how estimation error varies with sample size. حسب Lulu Pan (8977979)

الموضوعات:

Typical results of using the WSINDy algorithm for example problem L.3 in Table 2 with the library presented in Table 3, , and 50 points in time. حسب Rainey Lyons (22806496)

Dataset 2: Zip file containing the Tables of the presented method and results حسب Suchismita Behera (22027316)

الموضوعات:

Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc حسب Huayan Zuo (22308277)

"…Objectives<p>This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data.…"

Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx حسب Xuehui Fan (10762662)

Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx حسب Xuehui Fan (10762662)

Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx حسب Xuehui Fan (10762662)