DEVELOPMENT... OpenML
Data
Airlines_DepDelay_1M

Airlines_DepDelay_1M

active ARFF Public Domain (CC0) Visibility: public Uploaded 14-11-2020 by
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Author: Bureau of Transportation Statistics, Airline Service Quality Performance Source: [original](http://www.transtats.bts.gov/) - 2013 Please cite: 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](https://h2o-airlines-unpacked.s3.amazonaws.com/allyears.1987.2013.csv). This is the first 1 million rows (and a subset of the columns) of this CSV file, in ARFF format.

10 features

DepDelay (target)numeric629 unique values
0 missing
Monthnumeric12 unique values
0 missing
DayofMonthnumeric31 unique values
0 missing
DayOfWeeknumeric7 unique values
0 missing
CRSDepTimenumeric1343 unique values
0 missing
CRSArrTimenumeric1429 unique values
0 missing
UniqueCarriernominal30 unique values
0 missing
Originnominal362 unique values
0 missing
Destnominal360 unique values
0 missing
Distancenumeric1735 unique values
0 missing
Show all 10 features

19 properties

NumberOfInstances
1000000
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.
PercentageOfSymbolicFeatures
30
Percentage of nominal attributes.
AutoCorrelation
-16.96
Average class difference between consecutive instances.
PercentageOfNumericFeatures
70
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0
Number of attributes divided by the number of instances.
Show all 19 properties

2 tasks

Supervised Regression on Airlines_DepDelay_1M
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: DepDelay
Supervised Regression on Airlines_DepDelay_1M
0 runs - estimation_procedure: 33% Holdout set - target_feature: DepDelay
Define a new task