Data
SportsCars

SportsCars

active ARFF Public Domain (CC0) Visibility: public Uploaded 02-04-2022 by Jürg Schelldorfer
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The data comprises the brand, type and model. For each car we have information about the cubic capacity (in cm3), the maximal power of engine (in kW), the maximal torque (in Nm), the number of seats, the weight of the car (in kg), the maximum engine speed (in rpm), the acceleration from 0 to 100km/h (in seconds), and the top speed (in km/h). In addition if the car is classified as a sports car (binary) and the tau value (see article). This data is based on the data from the article “What is a sports car” by Ingenbleek–Lemaire (1988, ASTIN Bulletin 18/2, 175-187.). Unfortunately, only part of the original data set is still available. Therefore, it has been extended with additional cars which have been compiled from the internet. The dataset was kindly created and provided by Simon Rentzmann and Mario V. Wuthrich.

13 features

brandstring43 unique values
0 missing
typestring96 unique values
0 missing
modelstring113 unique values
0 missing
cubic_capacitynumeric126 unique values
0 missing
max_powernumeric97 unique values
0 missing
max_torquenumeric159 unique values
0 missing
seatsnumeric5 unique values
0 missing
weightnumeric213 unique values
0 missing
max_engine_speednumeric33 unique values
0 missing
seconds_to_100numeric141 unique values
24 missing
top_speednumeric111 unique values
0 missing
sports_carnumeric2 unique values
0 missing
taunumeric443 unique values
0 missing

19 properties

475
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
24
Number of missing values in the dataset.
24
Number of instances with at least one value missing.
10
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
5.05
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.39
Percentage of missing values.
0.03
Number of attributes divided by the number of instances.
76.92
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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