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

"…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.…"

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. …"

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Features identified through LASSO analyses and Boruta. حسب Lang Gao (12963876)

الموضوعات:

Receiver operator characteristic (ROC) curves of the machine learning algorithms. حسب Yue Lv (549862)

Variable selection procedure using the Boruta algorithm. حسب Qiudie Liu (22655907)

الموضوعات:

Feature selection results from the Boruta algorithm. حسب Junying Wei (1710550)

الموضوعات:

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

Table 1_Association between the stress hyperglycemia ratio and all-cause mortality in patients with hemorrhagic stroke: a retrospective analysis based on MIMIC-IV database.docx حسب Wei Zhu (23646)

The output of confusion matrices based on ML models. حسب Nishat Tasnim Thity (21755858)

الموضوعات:

Feature contributions for the selected features based on the RF model. حسب Nishat Tasnim Thity (21755858)

الموضوعات:

Boruta’s algorithm ranks the importance of potential risk factors for in-hospital mortality. حسب Sheng Chen (21971)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)

الموضوعات:

Comparative analysis of distance-based methods for outlier detection. حسب Sunil Kumar (102321)

الموضوعات:

Analysis of the proposed method with the other state-of-the-art methods based on recall. حسب Sunil Kumar (102321)

الموضوعات: