Data
Bike

Bike

active ARFF Publicly available Visibility: public Uploaded 01-12-2017 by Joaquin Vanschoren
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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

62 properties

4435
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
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.
11
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
7.04
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.45
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
24.4
Maximum kurtosis among attributes of the numeric type.
1.06
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
0.8
Third quartile of kurtosis among attributes of the numeric type.
13377.55
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
100
Percentage of numeric attributes.
287.78
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-1.23
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
0.6
Third quartile of skewness among attributes of the numeric type.
3.77
Maximum skewness among attributes of the numeric type.
0.45
Minimum standard deviation of attributes of the numeric type.
-1.26
First quartile of kurtosis among attributes of the numeric type.
204.29
Third quartile of standard deviation of attributes of the numeric type.
8538.85
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
4.05
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
1.67
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-0.09
First quartile of skewness among attributes of the numeric type.
1305.35
Mean of means among attributes of the numeric type.
2.75
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
-0.8
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
22.35
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.41
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
839.72
Mean standard deviation of attributes of the numeric type.
0.23
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

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