Data
shuttle

shuttle

active ARFF public Visibility: public Uploaded 06-04-2017 by Pieter Gijsbers
0 likes downloaded by 2 people , 3 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
shuttle-pmlb

10 features

class (target)nominal7 unique values
0 missing
A1numeric76 unique values
0 missing
A2numeric206 unique values
0 missing
A3numeric51 unique values
0 missing
A4numeric137 unique values
0 missing
A5numeric54 unique values
0 missing
A6numeric299 unique values
0 missing
A7numeric86 unique values
0 missing
A8numeric123 unique values
0 missing
A9numeric77 unique values
0 missing

62 properties

58000
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
7
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.
9
Number of numeric attributes.
1
Number of nominal attributes.
Maximum mutual information between the nominal attributes and the target attribute.
7
The minimal number of distinct values among attributes of the nominal type.
90
Percentage of numeric attributes.
49.56
Third quartile of means among attributes of the numeric type.
7
The maximum number of distinct values among attributes of the nominal type.
-21.86
Minimum skewness among attributes of the numeric type.
10
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
31.69
Maximum skewness among attributes of the numeric type.
8.9
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
4.34
Third quartile of skewness among attributes of the numeric type.
217.6
Maximum standard deviation of attributes of the numeric type.
0.02
Percentage of instances belonging to the least frequent class.
4.07
First quartile of kurtosis among attributes of the numeric type.
57.24
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
10
Number of instances belonging to the least frequent class.
0.93
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
1817.65
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
30.21
Mean of means among attributes of the numeric type.
-0.77
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
12.67
First quartile of standard deviation of attributes of the numeric type.
0.65
Average class difference between consecutive instances.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0.96
Entropy of the target attribute values.
7
Average number of distinct values among the attributes of the nominal type.
8.44
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
2.37
Mean skewness among attributes of the numeric type.
34.55
Second quartile (Median) of means among attributes of the numeric type.
78.6
Percentage of instances belonging to the most frequent class.
48.34
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
45586
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
1.1
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
0.54
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
21.66
Second quartile (Median) of standard deviation of attributes of the numeric type.
7698.22
Maximum kurtosis among attributes of the numeric type.
-0.02
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
85.35
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
4313.28
Third quartile of kurtosis among attributes of the numeric type.

13 tasks

0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task