Data
Airlines_DepDelay_1M

Airlines_DepDelay_1M

active ARFF Public Domain (CC0) Visibility: public Uploaded 14-11-2020 by Erin LeDell
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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

19 properties

1000000
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.
0
Percentage of instances having missing values.
-16.96
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
70
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
30
Percentage of nominal attributes.
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.
0
Number of binary attributes.
0
Percentage of binary attributes.

2 tasks

0 runs - estimation_procedure: 33% Holdout set - target_feature: DepDelay
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: DepDelay
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