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ML2017-challenge-2

ML2017-challenge-2

in_preparation ARFF Publicly available Visibility: public Uploaded 09-06-2017 by Jason
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Machine Learning Summer Course Data Mining Challenge

12 features

A1 (target)nominal2 unique values
0 missing
A2numeric99 unique values
0 missing
A3numeric6941 unique values
0 missing
A4numeric19228 unique values
0 missing
A5numeric6064 unique values
0 missing
A6numeric3 unique values
0 missing
A7numeric3 unique values
0 missing
A8numeric30748 unique values
0 missing
A9numeric19803 unique values
0 missing
A10numeric25321 unique values
0 missing
A11numeric22381 unique values
0 missing
A12numeric30114 unique values
0 missing
Show all 12 features

62 properties

NumberOfInstances
39948
Number of instances (rows) of the dataset.
NumberOfFeatures
12
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
11
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
8.33
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
91.67
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
8.33
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.02
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
2.1
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
-0.24
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
65.87
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
2.4
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
111150.9
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
1.78
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
328374.22
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
32.13
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
3669622.26
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
5.19
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
5841539.59
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.72
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
8.7648640174263E+17
Mean of means among attributes of the numeric type.
ClassEntropy
0.65
Entropy of the target attribute values.
Dimensionality
0
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
83.16
Percentage of instances belonging to the most frequent class.
MajorityClassSize
33220
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
27130.69
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
9.6413504191457E+18
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
159.06
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
4.9867045298743E+18
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
2475.84
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
16.18
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
4.5333677544489E+17
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.12
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
1.46
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
-0.88
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.63
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
16.84
Percentage of instances belonging to the least frequent class.
MinorityClassSize
6728
Number of instances belonging to the least frequent class.
Show all 62 properties

12 tasks

Supervised Classification on ML2017-challenge-2
60 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: A1
Supervised Classification on ML2017-challenge-2
12 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: A1
Clustering on ML2017-challenge-2
0 runs
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Clustering on ML2017-challenge-2
0 runs - estimation_procedure: 50 times Clustering
Define a new task

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