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delays_zurich_transport

delays_zurich_transport

active ARFF CCZero Visibility: public Uploaded 11-06-2020 by Florian Pargent
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Zurich public transport delay data 2016-10-30 03:30:00 CET - 2016-11-27 01:20:00 CET cleaned and prepared at Open Data Day 2017. For this version, the task was downsampled to 0.5 percent. Some features were recoded as factors and some new time features were computed.

18 features

delay (target)numeric853 unique values
0 missing
vehicle_typenominal3 unique values
0 missing
line_numbernominal67 unique values
657 missing
directionnominal2 unique values
0 missing
stop_idnominal1489 unique values
0 missing
weekdaynominal7 unique values
0 missing
timenumeric128 unique values
0 missing
tempnumeric142 unique values
0 missing
windspeed_maxnumeric131 unique values
0 missing
windspeed_avgnumeric66 unique values
0 missing
precipitationnumeric15 unique values
0 missing
dew_pointnumeric120 unique values
0 missing
humiditynumeric46 unique values
0 missing
hournumeric23 unique values
0 missing
dayminutenumeric128 unique values
0 missing
hoursnumeric23 unique values
0 missing
minutesnumeric12 unique values
0 missing
secondsnumeric2 unique values
0 missing

19 properties

27327
Number of instances (rows) of the dataset.
18
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
657
Number of missing values in the dataset.
657
Number of instances with at least one value missing.
13
Number of numeric attributes.
5
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
72.22
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
27.78
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.
1
Number of binary attributes.
5.56
Percentage of binary attributes.
2.4
Percentage of instances having missing values.
-93.3
Average class difference between consecutive instances.
0.13
Percentage of missing values.

7 tasks

0 runs - estimation_procedure: 33% Holdout set - target_feature: delay
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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