Evaluation of machine learning models for predicting TiO₂ photocatalytic degradation of air contaminants

Engineering

• Adaboost 25%
• Artificial Neural Network 50%
• Degradation Rate 50%
• Input Parameter 25%
• Learning System 100%
• Machine Learning Technique 25%
• Nearest Neighbor 25%
• Photocatalysts 25%
• Random Forest 25%
• Regressors 25%
• Support Vector Machine 25%
• Titanium Dioxide (Tio2) 25%

Chemical Engineering

• Learning System 100%
• Neural Network 40%
• Photocatalytic Degradation 100%
• Support Vector Machine 20%
• Titanium Dioxide 100%