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

الموضوعات:

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms حسب Hossein Mashhadimoslem (11456548)

Extracted ion chromatograms using MaM algorithms. حسب Paula Cifuentes (22050278)

الموضوعات:

Feature selection using the Boruta algorithm. حسب Guang Tu (22054865)

"…</p><p>Results</p><p>Our study included 2,213 patients, of whom 345 (15.6%) experienced in-hospital mortality. The Boruta algorithm identified 29 significant risk factors, and the top 13 variables were used for developing machine learning models. …"

Silhouette scores for each clustering algorithm. حسب Zoïe W. Alexiou (21989297)

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis: weighted average per algorithm (AUC-ROC). حسب Audêncio Victor (10400699)

Data Sheet 3_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip حسب Cong Peng (160287)

"…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …"

Data Sheet 2_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip حسب Cong Peng (160287)

"…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …"

Data Sheet 4_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip حسب Cong Peng (160287)

"…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …"

Data Sheet 6_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.docx حسب Cong Peng (160287)

"…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …"

Data Sheet 1_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.pdf حسب Cong Peng (160287)

"…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …"

Flow diagram of FPA-WPA algorithm. حسب Jiayuan Wang (3765376)

الموضوعات:

Somatostatin (Parent compound) and major metabolites identified using both algorithms. حسب Paula Cifuentes (22050278)

الموضوعات:

<i>Wolfset: A High-Quality Underwater Acoustic Dataset for Algorithm Development and Analysis</i> حسب Nuno Pessanha Santos (7381244)

"…<p dir="ltr">As data becomes increasingly available, relying on quality datasets for algorithm analysis and development is essential. …"

Evaluation metrics of the models constructed by each algorithm. حسب Xiaoyan Yang (259084)

الموضوعات:

Metabolites identified and extracted ion chromatogram of Semaglutide using MiM algorithm. حسب Paula Cifuentes (22050278)

الموضوعات:

Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

"…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…"

Diagram algorithme. حسب Yunsuk Choi (754270)

Algorithm steps for house price prediction model. حسب Xuan Wang (55634)

الموضوعات:

The speed of anchor-based algorithms. حسب Olarewaju Mubashiru Lawal (14710251)