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camel-1.6

camel-1.6

in_preparation ARFF Publicly available Visibility: public Uploaded 23-06-2017 by Kimberly Murphy
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software fault prediction

21 features

Class (target)nominal2 unique values
0 missing
V11numeric315 unique values
0 missing
V20numeric176 unique values
0 missing
V19numeric21 unique values
0 missing
V18numeric474 unique values
0 missing
V17numeric12 unique values
0 missing
V16numeric5 unique values
0 missing
V15numeric257 unique values
0 missing
V14numeric209 unique values
0 missing
V13numeric10 unique values
0 missing
V12numeric27 unique values
0 missing
V1numeric55 unique values
0 missing
V10numeric223 unique values
0 missing
V9numeric52 unique values
0 missing
V8numeric41 unique values
0 missing
V7numeric49 unique values
0 missing
V6numeric179 unique values
0 missing
V5numeric101 unique values
0 missing
V4numeric58 unique values
0 missing
V3numeric20 unique values
0 missing
V2numeric7 unique values
0 missing

62 properties

965
Number of instances (rows) of the dataset.
21
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.
20
Number of numeric attributes.
1
Number of nominal attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
4.76
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
95.24
Percentage of numeric attributes.
4.76
Percentage of nominal attributes.
First quartile of entropy among attributes.
0.87
First quartile of kurtosis among attributes of the numeric type.
0.62
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.
1.1
First quartile of skewness among attributes of the numeric type.
0.67
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
27.85
Second quartile (Median) of kurtosis among attributes of the numeric type.
2.12
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
3.8
Second quartile (Median) of skewness among attributes of the numeric type.
2.73
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
62.32
Third quartile of kurtosis among attributes of the numeric type.
10.47
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
6.02
Third quartile of skewness among attributes of the numeric type.
19.26
Third quartile of standard deviation of attributes of the numeric type.
0.68
Average class difference between consecutive instances.
13.88
Mean of means among attributes of the numeric type.
0.71
Entropy of the target attribute values.
0.02
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.
80.52
Percentage of instances belonging to the most frequent class.
777
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
489.9
Maximum kurtosis among attributes of the numeric type.
117.16
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
20.35
Maximum skewness among attributes of the numeric type.
523.75
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
65.11
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
2
Average number of distinct values among the attributes of the nominal type.
4.98
Mean skewness among attributes of the numeric type.
41.18
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-1.79
Minimum kurtosis among attributes of the numeric type.
0.39
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
-0.46
Minimum skewness among attributes of the numeric type.
0.26
Minimum standard deviation of attributes of the numeric type.
19.48
Percentage of instances belonging to the least frequent class.
188
Number of instances belonging to the least frequent class.

12 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: area_under_roc_curve - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task