Data
road-safety

road-safety

active ARFF Publicly available Visibility: public Uploaded 07-01-2023 by Leo Grin
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on both numerical and categorical features" benchmark. Original link: https://openml.org/d/42803 Original description: Data reported to the police about the circumstances of personal injury road accidents in Great Britain from 1979, and the maker and model information of vehicles involved in the respective accident. This version includes data up to 2015.

33 features

SexofDriver (target)nominal2 unique values
0 missing
Vehicle_Reference_df_resnumeric32 unique values
0 missing
Vehicle_Typenumeric15 unique values
0 missing
Vehicle_Manoeuvrenumeric18 unique values
0 missing
Vehicle_Location-Restricted_Lanenumeric10 unique values
0 missing
Hit_Object_in_Carriagewaynumeric12 unique values
0 missing
Hit_Object_off_Carriagewaynumeric12 unique values
0 missing
Was_Vehicle_Left_Hand_Drive?nominal2 unique values
0 missing
Age_of_Drivernumeric84 unique values
0 missing
Age_Band_of_Drivernumeric9 unique values
0 missing
Engine_Capacity_(CC)numeric873 unique values
0 missing
Propulsion_Codenumeric8 unique values
0 missing
Age_of_Vehiclenumeric56 unique values
0 missing
Location_Easting_OSGRnumeric44941 unique values
0 missing
Location_Northing_OSGRnumeric46504 unique values
0 missing
Longitudenumeric60608 unique values
0 missing
Latitudenumeric60310 unique values
0 missing
Police_Forcenumeric44 unique values
0 missing
Number_of_Vehiclesnumeric14 unique values
0 missing
Number_of_Casualtiesnumeric18 unique values
0 missing
Local_Authority_(District)numeric324 unique values
0 missing
1st_Road_Numbernumeric3045 unique values
0 missing
2nd_Road_Numbernumeric2920 unique values
0 missing
Urban_or_Rural_Areanominal2 unique values
0 missing
Vehicle_Reference_dfnumeric23 unique values
0 missing
Casualty_Referencenumeric35 unique values
0 missing
Sex_of_Casualtynominal2 unique values
0 missing
Age_of_Casualtynumeric100 unique values
0 missing
Age_Band_of_Casualtynumeric11 unique values
0 missing
Pedestrian_Locationnumeric11 unique values
0 missing
Pedestrian_Movementnumeric10 unique values
0 missing
Casualty_Typenumeric21 unique values
0 missing
Casualty_IMD_Decilenumeric10 unique values
0 missing

19 properties

111762
Number of instances (rows) of the dataset.
33
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
29
Number of numeric attributes.
4
Number of nominal attributes.
12.12
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
87.88
Percentage of numeric attributes.
50
Percentage of instances belonging to the most frequent class.
12.12
Percentage of nominal attributes.
55881
Number of instances belonging to the most frequent class.
50
Percentage of instances belonging to the least frequent class.
55881
Number of instances belonging to the least frequent class.
4
Number of binary attributes.

2 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: SexofDriver
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: SexofDriver
Define a new task