Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology

Mathematics

• Toxicology 100%
• Random Forest 100%
• Decision tree 87%
• Drugs 70%
• Prediction 54%
• Toxicity 44%
• Machine Learning 37%
• Model 22%
• Model-based 20%
• Knowledge 17%
• Methodology 16%
• Functional Relationship 14%
• Money 14%
• Data Mining 13%
• Classifier 12%
• Process Model 12%
• Industry 11%
• Predict 10%
• Profile 9%
• Minimise 9%
• Curve 6%
• Relationships 6%
• Demonstrate 6%

Engineering & Materials Science

• Random forests 72%
• Decision trees 66%
• Toxicity 40%
• Machine learning 25%
• Data mining 9%
• Classifiers 8%