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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
Show all 10 features

19 properties

NumberOfInstances
10000000
Number of instances (rows) of the dataset.
NumberOfFeatures
10
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
7
Number of numeric attributes.
NumberOfSymbolicFeatures
3
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
70
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
30
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
-16.44
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

2 tasks

Supervised Regression on Airlines_DepDelay_10M
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: DepDelay
Supervised Regression on Airlines_DepDelay_10M
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: DepDelay
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