Predicting maritime accident risk using Automated Machine Learning

Keyphrases

• Accident Risk 100%
• AutoML 100%
• Maritime Accidents 100%
• Machine Learning Algorithms 40%
• Machine Learning 20%
• Impact-based 20%
• Risk Analysis 20%
• Prediction Accuracy 20%
• Historical Data 20%
• Over 40 20%
• Decision Support System 20%
• Boosted Tree Classifier 20%
• Policy Decision-making 20%
• Large Volume 20%
• Advanced Algorithm 20%
• Accident Risk Assessment 20%
• Gradient Boosted Trees 20%
• Operational Decisions 20%
• Contact Explosion 20%
• Predictive Analytics 20%
• Water Phase 20%
• Accident Consequences 20%
• Gross Tonnage 20%
• Feature Effect 20%
• Coastal Waters 20%
• Operational Phase 20%
• Hazard Identification 20%
• Sailing 20%
• Weather Damage 20%
• Accident Statistics 20%
• Heavy Weather 20%
• Maritime Safety 20%
• Light Gradient 20%
• Accident Categories 20%
• Accident Type 20%
• Fire Explosion 20%
• Classification Machine Learning 20%
• Fishing Vessel 20%
• Contact Damage 20%

Engineering

• Learning System 100%
• Machine Learning Algorithm 66%
• Historical Data 33%
• Support System 33%
• Policy Decision 33%
• Fishing Vessel 33%
• Operational Phase 33%
• Gross Tonnage 33%
• Sailing Vessels 33%

Chemical Engineering

• Learning System 100%