OpenML
airlines

airlines

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Young Lee
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Airlines Dataset Inspired in the regression dataset from Elena Ikonomovska. The task is to predict whether a given flight will be delayed, given the information of the scheduled departure.

8 features

class (target)numeric2 unique values
0 missing
Flightnumeric6585 unique values
0 missing
Timenumeric1131 unique values
0 missing
Lengthnumeric426 unique values
0 missing
Airlinenominal18 unique values
0 missing
AirportFromnominal293 unique values
0 missing
AirportTonominal293 unique values
0 missing
DayOfWeeknominal7 unique values
0 missing

19 properties

539383
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
0
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.
4
Number of numeric attributes.
4
Number of nominal attributes.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
50
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
50
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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.

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