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voldata15

voldata15

in_preparation ARFF Public Domain (CC0) Visibility: public Uploaded 05-12-2018 by Brandon Gonzales
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#voldata

17 features

riskoff (target)numeric2 unique values
0 missing
id (row identifier)numeric219 unique values
0 missing
esnumeric219 unique values
0 missing
volumenumeric219 unique values
0 missing
rvolnumeric219 unique values
0 missing
vixnumeric217 unique values
0 missing
vx2numeric219 unique values
0 missing
vx3numeric219 unique values
0 missing
vx4numeric219 unique values
0 missing
vix_maxnumeric206 unique values
0 missing
returnnumeric219 unique values
0 missing
vix_d_1numeric213 unique values
0 missing
vix_d_2numeric216 unique values
0 missing
vix_d_3numeric219 unique values
0 missing
vix_d_4numeric219 unique values
0 missing
vix_d_5numeric219 unique values
0 missing
vix_deltanumeric211 unique values
0 missing
vix_binnumeric5 unique values
0 missing

62 properties

219
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
0
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.
17
Number of numeric attributes.
0
Number of nominal attributes.
17.02
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.
100
Percentage of numeric 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.
-1.05
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
3
Third quartile of skewness among attributes of the numeric type.
6.16
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
4.84
Third quartile of standard deviation of attributes of the numeric type.
30186.34
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.27
First quartile of kurtosis 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.
0.14
First quartile of means among attributes of the numeric type.
11.84
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.
4074.5
Mean of means among attributes of the numeric type.
0.28
First quartile of skewness among attributes of the numeric type.
0.96
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.15
First quartile of standard deviation of attributes of the numeric type.
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.
Second quartile (Median) of entropy among attributes.
0.08
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
6.64
Second quartile (Median) of kurtosis 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.
1.89
Mean skewness among attributes of the numeric type.
12.71
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
1782.57
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
1.92
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.76
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1.82
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
49.49
Maximum kurtosis among attributes of the numeric type.
-0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
21.85
Third quartile of kurtosis among attributes of the numeric type.
66388.41
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.

1 tasks

0 runs - estimation_procedure: 50 times Clustering
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