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Airlines_DepDelay_10M

Airlines_DepDelay_10M

active ARFF Public Domain (CC0) Visibility: public Uploaded 18-11-2020 by Erin LeDell
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Airlines Departure Delay Prediction (Regression). Original data can be found at: http://www.transtats.bts.gov This is a processed version of the original data, designed to predict departure delay (in seconds). A CSV of the raw data (years 1987-2013) can be be found here. This is the first 10 million rows (and a subset of the columns) of this CSV file, in ARFF format.

10 features

DepDelay (target)numeric1195 unique values
0 missing
Monthnumeric12 unique values
0 missing
DayofMonthnumeric31 unique values
0 missing
DayOfWeeknumeric7 unique values
0 missing
CRSDepTimenumeric1391 unique values
0 missing
CRSArrTimenumeric1442 unique values
0 missing
UniqueCarriernominal30 unique values
0 missing
Originnominal369 unique values
0 missing
Destnominal368 unique values
0 missing
Distancenumeric1786 unique values
0 missing

19 properties

10000000
Number of instances (rows) of the dataset.
10
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.
7
Number of numeric attributes.
3
Number of nominal attributes.
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.
0
Percentage of missing values.
-16.44
Average class difference between consecutive instances.
70
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
30
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: DepDelay
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