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e-learning

e-learning

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
V11numeric45 unique values
0 missing
V20numeric22 unique values
0 missing
V19numeric7 unique values
0 missing
V18numeric43 unique values
0 missing
V17numeric3 unique values
0 missing
V16numeric3 unique values
0 missing
V15numeric32 unique values
0 missing
V14numeric28 unique values
0 missing
V13numeric4 unique values
0 missing
V12numeric5 unique values
0 missing
V1numeric21 unique values
0 missing
V10numeric22 unique values
0 missing
V9numeric20 unique values
0 missing
V8numeric10 unique values
0 missing
V7numeric11 unique values
0 missing
V6numeric22 unique values
0 missing
V5numeric25 unique values
0 missing
V4numeric16 unique values
0 missing
V3numeric6 unique values
0 missing
V2numeric5 unique values
0 missing
Show all 21 features

62 properties

NumberOfInstances
64
Number of instances (rows) of the dataset.
NumberOfFeatures
21
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
20
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
4.76
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
95.24
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
4.76
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-0.49
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.58
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
0.03
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.66
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
3.25
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
1.72
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
1.64
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
1.83
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
6.36
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
6.28
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
2.23
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
6.2
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.84
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
6.64
Mean of means among attributes of the numeric type.
ClassEntropy
0.4
Entropy of the target attribute values.
Dimensionality
0.33
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
92.19
Percentage of instances belonging to the most frequent class.
MajorityClassSize
59
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
25.43
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
56.86
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
4.59
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
68.53
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
4.12
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
1.49
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
8.72
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.94
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.31
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
-0.59
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.3
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
7.81
Percentage of instances belonging to the least frequent class.
MinorityClassSize
5
Number of instances belonging to the least frequent class.
Show all 62 properties

12 tasks

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