Data
BNG(SPECT)

BNG(SPECT)

active ARFF public domain Visibility: public Uploaded 12-11-2014 by Jan van Rijn
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23 features

OVERALL_DIAGNOSIS (target)nominal2 unique values
0 missing
F1nominal2 unique values
0 missing
F2nominal2 unique values
0 missing
F3nominal2 unique values
0 missing
F4nominal2 unique values
0 missing
F5nominal2 unique values
0 missing
F6nominal2 unique values
0 missing
F7nominal2 unique values
0 missing
F8nominal2 unique values
0 missing
F9nominal2 unique values
0 missing
F10nominal2 unique values
0 missing
F11nominal2 unique values
0 missing
F12nominal2 unique values
0 missing
F13nominal2 unique values
0 missing
F14nominal2 unique values
0 missing
F15nominal2 unique values
0 missing
F16nominal2 unique values
0 missing
F17nominal2 unique values
0 missing
F18nominal2 unique values
0 missing
F19nominal2 unique values
0 missing
F20nominal2 unique values
0 missing
F21nominal2 unique values
0 missing
F22nominal2 unique values
0 missing

62 properties

1000000
Number of instances (rows) of the dataset.
23
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.
0
Number of numeric attributes.
23
Number of nominal attributes.
100
Percentage of binary attributes.
Second quartile (Median) of standard deviation of attributes of the numeric type.
1
Maximum entropy among attributes.
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
0.97
Third quartile of entropy among attributes.
Maximum kurtosis among attributes of the numeric type.
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
Third quartile of kurtosis among attributes of the numeric type.
Maximum of means among attributes of the numeric type.
0
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of numeric attributes.
Third quartile of means among attributes of the numeric type.
0.07
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of nominal attributes.
0.03
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.
Minimum skewness among attributes of the numeric type.
0.81
First quartile of entropy among attributes.
Third quartile of skewness among attributes of the numeric type.
Maximum skewness among attributes of the numeric type.
Minimum standard deviation of attributes of the numeric type.
First quartile of kurtosis among attributes of the numeric type.
Third quartile of standard deviation of attributes of the numeric type.
Maximum standard deviation of attributes of the numeric type.
20.84
Percentage of instances belonging to the least frequent class.
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.
0.87
Average entropy of the attributes.
208420
Number of instances belonging to the least frequent class.
0.01
First quartile of mutual information between the nominal attributes and the target attribute.
Mean kurtosis among attributes of the numeric type.
23
Number of binary attributes.
First quartile of skewness among attributes of the numeric type.
Mean of means among attributes of the numeric type.
First quartile of standard deviation of attributes of the numeric type.
0.67
Average class difference between consecutive instances.
0.02
Average mutual information between the nominal attributes and the target attribute.
0.9
Second quartile (Median) of entropy among attributes.
0.74
Entropy of the target attribute values.
49.4
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
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.
Second quartile (Median) of means among attributes of the numeric type.
42.58
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
Mean skewness among attributes of the numeric type.
0.01
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
79.16
Percentage of instances belonging to the most frequent class.
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of skewness among attributes of the numeric type.
791580
Number of instances belonging to the most frequent class.
0.59
Minimal entropy among attributes.

4 tasks

0 runs - estimation_procedure: 33% Holdout set - target_feature: OVERALL_DIAGNOSIS
313 runs - estimation_procedure: Interleaved Test then Train - target_feature: OVERALL_DIAGNOSIS
0 runs - estimation_procedure: 50 times Clustering
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