Benchmarking and tuning regression algorithms on predicting students’academic performance

Keyphrases

• Performance Prediction 100%
• Machine Learning Techniques 100%
• Applied Machine Learning 100%
• Regression Algorithm 100%
• Learning Environment 50%
• Electronic Books 50%
• Learning Analytics 50%
• Digital Data 50%
• Overfitting 50%
• Students At-risk 50%
• Statistical Properties 50%
• Optimal Performance 50%
• Student Learning Behavior 50%
• Student Academic Performance 50%
• Performance Metrics 50%
• Online Learning Environment 50%
• High-risk Population 50%
• Machine Learning Technology 50%
• Tuning Process 50%
• Performance Tuning 50%
• Digital Learning Environment 50%
• Educational Data 50%
• Diversity Prediction 50%
• Student Dropout 50%

Computer Science

• Prediction Performance 100%
• Applied Machine Learning 100%
• Benchmarking 100%
• Learning Analytics 50%
• Digital Education 50%
• Optimal Performance 50%
• Performance Metric 50%
• Statistical Property 50%
• Machine Learning Technology 50%
• Suitable Algorithm 50%
• Fitting Problem 50%
• Performance Tuning 50%
• Online Learning Environment 50%
• Data Instance 50%
• Risk Population 50%
• Machine Learning 50%
• Learning System 50%

Chemical Engineering

• Learning System 100%