Data
BNG(breast-w)

BNG(breast-w)

active ARFF Publicly available Visibility: public Uploaded 28-04-2014 by Jan van Rijn
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10 features

Class (target)nominal2 unique values
0 missing
Clump_Thicknessnumeric26387 unique values
0 missing
Cell_Size_Uniformitynumeric17780 unique values
0 missing
Cell_Shape_Uniformitynumeric16030 unique values
0 missing
Marginal_Adhesionnumeric13232 unique values
0 missing
Single_Epi_Cell_Sizenumeric10910 unique values
0 missing
Bare_Nucleinumeric8561 unique values
0 missing
Bland_Chromatinnumeric11991 unique values
0 missing
Normal_Nucleolinumeric11095 unique values
0 missing
Mitosesnumeric2988 unique values
0 missing

62 properties

39366
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
2
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.
10
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
0.6
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.6
Third quartile of skewness among attributes of the numeric type.
3.52
Maximum skewness among attributes of the numeric type.
1.71
Minimum standard deviation of attributes of the numeric type.
-0.27
First quartile of kurtosis among attributes of the numeric type.
3.05
Third quartile of standard deviation of attributes of the numeric type.
3.62
Maximum standard deviation of attributes of the numeric type.
34.41
Percentage of instances belonging to the least frequent class.
2.86
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.
13546
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
1.64
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
1.06
First quartile of skewness among attributes of the numeric type.
3.13
Mean of means among attributes of the numeric type.
2.32
First quartile of standard deviation of attributes of the numeric type.
0.55
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
0.93
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.
0.12
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
3.2
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.
1.47
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
65.59
Percentage of instances belonging to the most frequent class.
2.75
Mean standard deviation of attributes of the numeric type.
1.24
Second quartile (Median) of skewness among attributes of the numeric type.
25820
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
2.87
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.73
Minimum kurtosis among attributes of the numeric type.
10
Percentage of binary attributes.
Third quartile of entropy among attributes.
12.39
Maximum kurtosis among attributes of the numeric type.
1.59
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
1.49
Third quartile of kurtosis among attributes of the numeric type.
4.39
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.
90
Percentage of numeric attributes.
3.45
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.

9 tasks

350 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
225 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
190 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
73 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: Class
25 runs - estimation_procedure: Interleaved Test then Train - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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