Factors in crash outcome
Explore how certain variable effect the outcome of a car crash!
The probabilities are based on data from the Queenland Government containing information about demographic, vechicle types, crash types, the condition of the driver ect. Using the Naive Bayes classifier, we calculate the posteriori probability which is based on the likelihood and the prior probability. However, all the attributes are assumed to be independent of each other. The order of the attributes reflects their contribution to the classifiers total F-measure. So filling out the attributes from top to bottom provides the most accurate results, you are however, free to fill in whatever attributes you wish!
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Type of crash:
Hit pedestrian
Single Vehicle
Multi Vehicle
Other
Unknown
Crash involving motorcycle:
Yes
No
Unknown
Speed limit of the road:
0 - 50 km/h
60 km/h
70 km/h
80 - 90 km/h
100 - 110 km/h
Unknown
Driver is driving while intoxicated:
Yes
No
Unknown
Driver is speeding:
Yes
No
Unknown
Crash involving truck:
Yes
No
Unknown
Unlicensed driver:
Yes
No
Unknown
Female driver:
Yes
No
Unknown
Fatality
2%
Hospitalised
37%
Medical treatment
41%
Minor injury
18%