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jedit-4.3

jedit-4.3

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

21 features

Class (target)nominal2 unique values
0 missing
V1numeric54 unique values
0 missing
V2numeric8 unique values
0 missing
V3numeric12 unique values
0 missing
V4numeric60 unique values
0 missing
V5numeric127 unique values
0 missing
V6numeric132 unique values
0 missing
V7numeric49 unique values
0 missing
V8numeric39 unique values
0 missing
V9numeric43 unique values
0 missing
V10numeric194 unique values
0 missing
V11numeric323 unique values
0 missing
V12numeric46 unique values
0 missing
V13numeric14 unique values
0 missing
V14numeric150 unique values
0 missing
V15numeric219 unique values
0 missing
V16numeric6 unique values
0 missing
V17numeric19 unique values
0 missing
V18numeric365 unique values
0 missing
V19numeric40 unique values
0 missing
V20numeric194 unique values
0 missing

62 properties

492
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.
1.47
First quartile of skewness among attributes of the numeric type.
40.33
Mean of means among attributes of the numeric type.
1.2
First quartile of standard deviation of attributes of the numeric type.
0.96
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
0.15
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.
44.01
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.04
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
4.48
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.
5.28
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
97.76
Percentage of instances belonging to the most frequent class.
167.18
Mean standard deviation of attributes of the numeric type.
5.04
Second quartile (Median) of skewness among attributes of the numeric type.
481
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
4.76
Percentage of binary attributes.
6.17
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.88
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
278.48
Maximum kurtosis among attributes of the numeric type.
0.42
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
90.93
Third quartile of kurtosis among attributes of the numeric type.
411.31
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.
13.83
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.
4.76
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
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
7.72
Third quartile of skewness among attributes of the numeric type.
15.72
Maximum skewness among attributes of the numeric type.
0.25
Minimum standard deviation of attributes of the numeric type.
1.11
First quartile of kurtosis among attributes of the numeric type.
24.88
Third quartile of standard deviation of attributes of the numeric type.
2184.69
Maximum standard deviation of attributes of the numeric type.
2.24
Percentage of instances belonging to the least frequent class.
11
Number of instances belonging to the least frequent class.
0.72
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.
1
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
58.35
Mean kurtosis among attributes of the numeric type.

9 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: area_under_roc_curve - 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
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