Machine learning benchmark flags hidden misses in road-accident prediction

Accident_Occurred, a binary yes-or-no field, was defined as the primary prediction target.

The authors describe this separation as the mechanism that keeps outcome-related information from being unintentionally used as a predictor.

Only 575 of the 5,500 observations, or 10.45 percent, belonged to the positive accident class, a substantial imbalance.

Subject of Research: A comparative machine-learning benchmark for binary road-accident prediction using a synthetic transportation dataset Article Title: A data-driven supervised machine learning study for road-accident prediction in smart transportation operations and planning in smart cities Article References: Arabiat, A., & Owida, H. A.

A data-driven supervised machine learning study for road-accident prediction in smart transportation operations and planning in smart cities.