DataQuest - Data Science Hackathon (IIT Roorkee, Cognizance 2018)
Road transport in India is one of the most frequently used means of transport for a common man. Each year the number of vehicles on the road keeps increasing, but with that comes the risk of road-accidents and fatalities. In 2017 alone, almost 1.5 lakh people were killed in road accidents across the country.
To help the accident victims as soon as possible, 108 has been set up as a free emergency response service which provides integrated medical, police and fire emergency services. This emergency service is being operated in several states of India. In this dataset, you have been provided with the details of road accidents in Dehradun District of Uttarakhand State. Your task is to predict the criticality of the accident.
DATASET DESCRIPTION Variable
Definition
victim_id
Victim ID
incident_time
Incident Time
incident_date
Incident Date
incident_location
Incident Location
incident_tehsil
Incident Tehsil
cause_of_emergency
Accident Category
base_to_scene_distance
Distance of scene from start of journey
scene_to_hospital_distance
Distance of scene from hospital
roadway_feature
Roadway feature (CUR-Curve, INT- Intersection, SLP- Slope, STR-Straight, UNK-Other)
road_type
Road Type (HIW-Highway, LOC-Local)
surrounding_area
Surrounding Area (AGL-Agriculture land, COL-Colony, FOR-Forest, HIL-Hills, HOSP-Hospital, MAR-Market
criticality
Accident severity (0 - Critical, 1 - Non-critical)
The Evaluation metric for this competition is AUC ROC score