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

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

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

Subjects:

The performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Ranking of ML algorithms. by 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. …”

The overview of the ML algorithms’ flowchart. by 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. …”

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

Subjects:

Visualization of mean absolute SHAP values for conditional algorithm for each class. by Sadia Nazim (21440115)

Visualization of mean absolute SHAP values for Interventional algorithm for each class. by Sadia Nazim (21440115)

Visualization of mean absolute SHAP values for conditional algorithm across all classes. by Sadia Nazim (21440115)

Visualization of mean absolute SHAP values for Interventional algorithm across all classes. by Sadia Nazim (21440115)

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…One can expect that the combination of multi-dimensional parameters from evolutionary biology, cell biology and molecular biology on evolutionary diverse species will significantly improve the next generation of machine leaning algorithms that serve localisation (and function) predictions.…”

Parameters of ML algorithms. by Md. Maeen Molla (20827041)

Confusion matrix for RUSBoost algorithm (3000 Learning Cycles) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

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

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