Data
airlines

airlines

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Author: Albert Bifet, Elena Ikonomovska Source: [Data Expo competition](http://kt.ijs.si/elena_ikonomovska/data.html) - 2009 Please cite: 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. For this version, the task was downsampled to 5 percent. The feature Flight was correctly encoded as a factor variable.

8 features

Delay (target)nominal2 unique values
0 missing
Airlinenominal18 unique values
0 missing
Flightnominal5857 unique values
0 missing
AirportFromnominal283 unique values
0 missing
AirportTonominal285 unique values
0 missing
DayOfWeeknominal7 unique values
0 missing
Timenumeric1056 unique values
0 missing
Lengthnumeric401 unique values
0 missing

19 properties

26969
Number of instances (rows) of the dataset.
8
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.
2
Number of numeric attributes.
6
Number of nominal attributes.
14934
Number of instances belonging to the most frequent class.
44.63
Percentage of instances belonging to the least frequent class.
12035
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
12.5
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.51
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
25
Percentage of numeric attributes.
55.37
Percentage of instances belonging to the most frequent class.
75
Percentage of nominal attributes.

6 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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