Performance metrics of best algorithms for multiclass classification by serogroup of bacterial meningitis with hyperparameter tuning. حسب Audêncio Victor (10400699)

Performance of machine learning algorithms. حسب Wenxue Liu (6877754)

Performance metrics of best algorithms for binary classification of bacterial vs. non-bacterial meningitis with hyperparameter tuning. حسب Audêncio Victor (10400699)

Learning curves under various machine algorithms. حسب Jinlin Teng (17972595)

الموضوعات:

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

Ranking of ML algorithms. حسب Yasemin Ayaz Atalan (21989402)

"…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …"

Control Parameters of IRSA Algorithm. حسب Wan-Hua Zhang (21601139)

الموضوعات:

Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past. حسب Jingru Dong (14076094)

الموضوعات:

The overview of the ML algorithms’ flowchart. حسب Yasemin Ayaz Atalan (21989402)

"…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …"

Overview of machine learning framework to predict early childhood development in East Africa. حسب Tsion Mulat Tebeje (13955254)

الموضوعات:

S1 Syntax - Application of machine learning algorithms to predict early childhood development in children aged 24–59 months across three East African countries حسب Tsion Mulat Tebeje (13955254)

الموضوعات:

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

"…</p><p>Conclusions</p><p>Among the machine learning algorithms evaluated, Random Forest showed the best generalization ability, both internally and externally. …"

Flowchart of DQN algorithm. حسب Jiandong Qiu (20389944)

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

"…Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO₂ adsorption performance as a function of characteristics and adsorption isotherm parameters. …"

Performance evaluation of the machine learning models to predict early childhood development in East Africa. حسب Tsion Mulat Tebeje (13955254)

الموضوعات:

<b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> حسب Lihao Feng (20837036)

ROC curves under various machine algorithms. حسب Jinlin Teng (17972595)

الموضوعات:

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

DMTD algorithm. حسب Yunhu Huang (21402795)

"…Overall, the EITO_P algorithm has the best performance.</p></div>…"

Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV حسب Jie Shen (31533)

"…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…"