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microaggregation2

microaggregation2

active ARFF Public Domain (CC0) Visibility: public Uploaded 01-05-2019 by Reza Mortazavi
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microaggregation2_nominal

21 features

class (target)nominal5 unique values
0 missing
a1numeric5 unique values
0 missing
a2numeric5 unique values
0 missing
a3numeric5 unique values
0 missing
a4numeric5 unique values
0 missing
a5numeric5 unique values
0 missing
a6numeric5 unique values
0 missing
a7numeric5 unique values
0 missing
a8numeric5 unique values
0 missing
a9numeric5 unique values
0 missing
a10numeric5 unique values
0 missing
a11numeric17443 unique values
0 missing
a12numeric17206 unique values
0 missing
a13numeric16249 unique values
0 missing
a14numeric15890 unique values
0 missing
a15numeric16420 unique values
0 missing
a16numeric17345 unique values
0 missing
a17numeric17082 unique values
0 missing
a18numeric16160 unique values
0 missing
a19numeric15733 unique values
0 missing
a20numeric16473 unique values
0 missing

62 properties

20000
Number of instances (rows) of the dataset.
21
Number of attributes (columns) of the dataset.
5
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.
20
Number of numeric attributes.
1
Number of nominal attributes.
-0.2
First quartile of skewness among attributes of the numeric type.
2.97
Mean of means among attributes of the numeric type.
0.72
First quartile of standard deviation of attributes of the numeric type.
0.45
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
1.75
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.
11.25
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
5
Average number of distinct values among the attributes of the nominal type.
2.63
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.
2.1
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
55.81
Percentage of instances belonging to the most frequent class.
2.39
Mean standard deviation of attributes of the numeric type.
2.51
Second quartile (Median) of skewness among attributes of the numeric type.
11162
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
1.85
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
1.79
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
47.94
Maximum kurtosis among attributes of the numeric type.
1.34
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
31.6
Third quartile of kurtosis among attributes of the numeric type.
5.9
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
95.24
Percentage of numeric attributes.
3.86
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
5
The minimal number of distinct values among attributes of the nominal type.
4.76
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
5
The maximum number of distinct values among attributes of the nominal type.
-3.99
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
4.96
Third quartile of skewness among attributes of the numeric type.
6.02
Maximum skewness among attributes of the numeric type.
0.65
Minimum standard deviation of attributes of the numeric type.
5.57
First quartile of kurtosis among attributes of the numeric type.
3.85
Third quartile of standard deviation of attributes of the numeric type.
6.48
Maximum standard deviation of attributes of the numeric type.
3.72
Percentage of instances belonging to the least frequent class.
743
Number of instances belonging to the least frequent class.
1.98
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.
Average entropy of the attributes.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
18.43
Mean kurtosis among attributes of the numeric type.

3 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - target_feature: class
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
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