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KC3

KC3

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

40 features

Class (target)nominal2 unique values
0 missing
V22numeric297 unique values
0 missing
V21numeric223 unique values
0 missing
V23numeric77 unique values
0 missing
V24numeric177 unique values
0 missing
V25numeric33 unique values
0 missing
V26numeric296 unique values
0 missing
V27numeric276 unique values
0 missing
V28numeric37 unique values
0 missing
V29numeric18 unique values
0 missing
V30numeric29 unique values
0 missing
V31numeric77 unique values
0 missing
V32numeric34 unique values
0 missing
V33numeric116 unique values
0 missing
V34numeric147 unique values
0 missing
V35numeric70 unique values
0 missing
V36numeric29 unique values
0 missing
V37numeric89 unique values
0 missing
V38numeric87 unique values
0 missing
V39numeric77 unique values
0 missing
V11numeric21 unique values
0 missing
V2numeric35 unique values
0 missing
V3numeric34 unique values
0 missing
V4numeric6 unique values
0 missing
V5numeric20 unique values
0 missing
V6numeric29 unique values
0 missing
V7numeric24 unique values
0 missing
V8numeric34 unique values
0 missing
V9numeric16 unique values
0 missing
V10numeric21 unique values
0 missing
V1numeric25 unique values
0 missing
V12numeric27 unique values
0 missing
V13numeric87 unique values
0 missing
V14numeric13 unique values
0 missing
V15numeric26 unique values
0 missing
V16numeric74 unique values
0 missing
V17numeric4 unique values
0 missing
V18numeric22 unique values
0 missing
V19numeric31 unique values
0 missing
V20numeric291 unique values
0 missing
Show all 40 features

62 properties

NumberOfInstances
458
Number of instances (rows) of the dataset.
NumberOfFeatures
40
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
39
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
2.5
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
97.5
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
2.5
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
7.27
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.93
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
2.57
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.57
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
11.67
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
3.45
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
3.08
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
5.8
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
20.6
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
17.14
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
3.78
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
26.47
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.91
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
395.53
Mean of means among attributes of the numeric type.
ClassEntropy
0.45
Entropy of the target attribute values.
Dimensionality
0.09
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
90.61
Percentage of instances belonging to the most frequent class.
MajorityClassSize
415
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
135.62
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
13728.24
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
2
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
10.03
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
44394.87
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
19.27
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
1
Number of binary attributes.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
2
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
3.18
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
1244.97
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.32
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.1
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-2.02
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.13
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
9.39
Percentage of instances belonging to the least frequent class.
MinorityClassSize
43
Number of instances belonging to the least frequent class.
Show all 62 properties

12 tasks

Supervised Classification on KC3
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: area_under_roc_curve - target_feature: Class
Supervised Classification on KC3
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Clustering on KC3
0 runs
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Clustering on KC3
0 runs - estimation_procedure: 50 times Clustering
Define a new task