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MW1

MW1

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

38 features

Class (target)nominal2 unique values
0 missing
V21numeric63 unique values
0 missing
V20numeric363 unique values
0 missing
V22numeric163 unique values
0 missing
V23numeric43 unique values
0 missing
V24numeric361 unique values
0 missing
V25numeric332 unique values
0 missing
V26numeric42 unique values
0 missing
V27numeric21 unique values
0 missing
V28numeric32 unique values
0 missing
V29numeric60 unique values
0 missing
V30numeric45 unique values
0 missing
V31numeric106 unique values
0 missing
V32numeric122 unique values
0 missing
V33numeric64 unique values
0 missing
V34numeric31 unique values
0 missing
V35numeric92 unique values
0 missing
V36numeric151 unique values
0 missing
V37numeric70 unique values
0 missing
V11numeric20 unique values
0 missing
V2numeric33 unique values
0 missing
V3numeric24 unique values
0 missing
V4numeric8 unique values
0 missing
V5numeric27 unique values
0 missing
V6numeric31 unique values
0 missing
V7numeric25 unique values
0 missing
V8numeric53 unique values
0 missing
V9numeric18 unique values
0 missing
V10numeric28 unique values
0 missing
V1numeric27 unique values
0 missing
V12numeric39 unique values
0 missing
V13numeric73 unique values
0 missing
V14numeric16 unique values
0 missing
V15nominal2 unique values
0 missing
V16numeric71 unique values
0 missing
V17numeric7 unique values
0 missing
V18numeric354 unique values
0 missing
V19numeric278 unique values
0 missing
Show all 38 features

62 properties

NumberOfInstances
403
Number of instances (rows) of the dataset.
NumberOfFeatures
38
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
36
Number of numeric attributes.
NumberOfSymbolicFeatures
2
Number of nominal attributes.
Quartile1MutualInformation
0
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
5.26
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
94.74
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
5.26
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.3
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
3.78
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
2.02
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
1.7
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
1.99
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
0.3
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
6.01
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
6.12
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
2.21
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
6.63
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
0.3
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
19.18
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
20.66
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
3.24
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
19.69
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.87
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
258.9
Mean of means among attributes of the numeric type.
ClassEntropy
0.39
Entropy of the target attribute values.
Dimensionality
0.09
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
717.05
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
92.31
Percentage of instances belonging to the most frequent class.
MajorityClassSize
372
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
0.3
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
61.39
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
7985.33
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0
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
7.3
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
18556.57
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
0.3
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
12.88
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
2
Number of binary attributes.
MeanMutualInformation
0
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
540.19
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
2.61
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
572.21
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
0.3
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.53
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.15
Minimum of means among attributes of the numeric type.
MinMutualInformation
0
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
-1.27
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.09
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
7.69
Percentage of instances belonging to the least frequent class.
MinorityClassSize
31
Number of instances belonging to the least frequent class.
Show all 62 properties

12 tasks

Supervised Classification on MW1
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: area_under_roc_curve - target_feature: Class
Supervised Classification on MW1
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Clustering on MW1
0 runs
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Clustering on MW1
0 runs - estimation_procedure: 50 times Clustering
Define a new task