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Data
Bike

Bike

active ARFF Publicly available Visibility: public Uploaded 01-12-2017 by Felicia West
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Author: Gregory Gay, Tim Menzies, Misty Davies, Karen Gundy-Burlet Source: [Zenodo](https://zenodo.org/record/322475) Please cite: Misty Davies. (2009). bike [Data set]. Zenodo. DOI: http://doi.org/10.5281/zenodo.322475 Bike Database This data contains the “bike” example from Automatically finding the control variables for complex system behavior, Gregory Gay, Tim Menzies, Misty Davies, Karen Gundy-Burlet, Automated Software Engineering May 2010. The last two columns are derived from the others. The second last column is the noise (variance) on the power and should be minimized. The last column shows a cluster number for each row (and these clusters were generated via an unsupervised learning, working on all columns except the last two).

11 features

Power(watts)numeric3685 unique values
0 missing
Distance(metres)numeric1901 unique values
0 missing
Heartrate(BPM)numeric104 unique values
0 missing
Speed(m/s)numeric346 unique values
0 missing
WindSpeed (m/s)numeric381 unique values
0 missing
Cadaence(revs/s)numeric99 unique values
0 missing
Elevation(meters)numeric699 unique values
0 missing
Hill slope(%)numeric2033 unique values
0 missing
Temperature(C )numeric14 unique values
0 missing
Penalty (to be minimized)numeric3991 unique values
0 missing
Cluster (found by unsupervised learning)numeric9 unique values
0 missing
Show all 11 features

19 properties

NumberOfInstances
4435
Number of instances (rows) of the dataset.
NumberOfFeatures
11
Number of attributes (columns) of the dataset.
NumberOfClasses
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
11
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
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

10 tasks

Clustering on Bike
0 runs
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
Clustering on Bike
0 runs - estimation_procedure: 50 times Clustering
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