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Customized AutoML: An Automated Machine Learning System for Predicting Severity of Construction Accidents
Construction companies are under pressure to enhance their site safety condition, being constantly challenged by rapid technological advancements, growing public concern, and fierce competition. To enhance construction site safety, literature investigated Machine Learning (ML) approaches as risk assessment (RA) tools. However, their deployment requires knowledge for selecting, training, testing, and employing the most appropriate ML predictor. While different ML approaches are recommended bydoi:10.3390/buildings12111933 fatcat:x3x4kz3aszfxhmg2zaxufaogv4