Data
vehicle

vehicle

active ARFF Public Domain (CC0) Visibility: public Uploaded 22-04-2021 by Juan Carlos Alfaro Jiménez
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  • Machine Learning partial label ranking
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22 features

L1 (target)nominal4 unique values
0 missing
L2 (target)nominal4 unique values
0 missing
L3 (target)nominal4 unique values
0 missing
L4 (target)nominal4 unique values
0 missing
A1numeric44 unique values
0 missing
A2numeric27 unique values
0 missing
A3numeric63 unique values
0 missing
A4numeric134 unique values
0 missing
A5numeric37 unique values
0 missing
A6numeric21 unique values
0 missing
A7numeric131 unique values
0 missing
A8numeric35 unique values
0 missing
A9numeric13 unique values
0 missing
A10numeric66 unique values
0 missing
A11numeric128 unique values
0 missing
A12numeric424 unique values
0 missing
A13numeric143 unique values
0 missing
A14numeric39 unique values
0 missing
A15numeric23 unique values
0 missing
A16numeric41 unique values
0 missing
A17numeric30 unique values
0 missing
A18numeric31 unique values
0 missing

19 properties

846
Number of instances (rows) of the dataset.
22
Number of attributes (columns) of the dataset.
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.
18
Number of numeric attributes.
4
Number of nominal attributes.
0.03
Number of attributes divided by the number of instances.
81.82
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
18.18
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.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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