74 lines
1.6 KiB
Markdown
74 lines
1.6 KiB
Markdown
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# DodgersLoop data sets
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The traffic data are collected with the loop sensor installed on ramp for the 101 North freeway in Los Angeles. This location is close to Dodgers Stadium; therefore the traffic is affected by volumne of visitors to the stadium.
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We make three data sets out of these data.
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## DodgersLoopDay
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The classes are days of the week.
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- Class 1: Sunday
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- Class 2: Monday
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- Class 3: Tuesday
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- Class 4: Wednesday
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- Class 5: Thursday
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- Class 6: Friday
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- Class 7: Saturday
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Train size: 78
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Test size: 80
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Number of classes: 7
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Missing value: Yes
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Time series length: 288
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Missing values are represented with NaN.
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## DodgersLoopWeekend
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- Class 1: Weekday
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- Class 2: Weekend
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Train size: 20
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Test size: 138
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Number of classes: 2
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Missing value: Yes
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Time series length: 288
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Missing values are represented with NaN.
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## DodgersLoopGame
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- Class 1: Normal day
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- Class 2: Game day
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Train size: 20
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Test size: 138
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Number of classes: 2
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Missing value: Yes
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Time series length: 288
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There is nothing to infer from the order of examples in the train and test set.
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Missing values are represented with NaN.
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Data created by Ihler, Alexander, Jon Hutchins, and Padhraic Smyth (see [1][2][3]). Data edited by Chin-Chia Michael Yeh.
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[1] Ihler, Alexander, Jon Hutchins, and Padhraic Smyth. "Adaptive event detection with time-varying poisson processes." Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2006.
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[2] “UCI Machine Learning Repository: Dodgers Loop Sensor Data Set.” UCI Machine Learning Repository, archive.ics.uci.edu/ml/datasets/dodgers+loop+sensor.
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[3] “Caltrans PeMS.” Caltrans, pems.dot.ca.gov/.
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