Data
XYZ

XYZ

active ARFF Publicly available Visibility: public Uploaded 17-02-2017 by Elvis Koci
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  • Computer Systems Machine Learning
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77 features

corpus_namestring3 unique values
0 missing
file_namestring215 unique values
0 missing
sheet_namestring347 unique values
0 missing
addressstring25391 unique values
0 missing
labelnominal5 unique values
0 missing
count_cellsnumeric564 unique values
0 missing
is_transposednominal2 unique values
0 missing
is_horizontalnominal2 unique values
0 missing
is_verticalnominal2 unique values
0 missing
is_squarenominal2 unique values
0 missing
widthnumeric58 unique values
0 missing
heightnumeric263 unique values
0 missing
perimeternumeric308 unique values
0 missing
count_its_kindnumeric136 unique values
0 missing
dist_its_kindnumeric143 unique values
0 missing
dist_any_kindnumeric23 unique values
0 missing
typenominal2 unique values
0 missing
similarity_leftnumeric386 unique values
0 missing
influence_leftnumeric393 unique values
0 missing
dissimilarity_leftnumeric109 unique values
0 missing
emptiness_leftnumeric298 unique values
0 missing
similarity_rightnumeric429 unique values
0 missing
influence_rightnumeric430 unique values
0 missing
dissimilarity_rightnumeric116 unique values
0 missing
emptiness_rightnumeric367 unique values
0 missing
similarity_topnumeric297 unique values
0 missing
influence_topnumeric392 unique values
0 missing
dissimilarity_topnumeric164 unique values
0 missing
emptiness_topnumeric192 unique values
0 missing
similarity_bottomnumeric294 unique values
0 missing
influence_bottomnumeric490 unique values
0 missing
dissimilarity_bottomnumeric188 unique values
0 missing
emptiness_bottomnumeric206 unique values
0 missing
similarity_rownumeric884 unique values
0 missing
influence_rownumeric901 unique values
0 missing
dissimilarity_rownumeric193 unique values
0 missing
emptiness_rownumeric572 unique values
0 missing
similarity_columnnumeric777 unique values
0 missing
influence_columnnumeric1538 unique values
0 missing
dissimilarity_columnnumeric381 unique values
0 missing
emptiness_columnnumeric374 unique values
0 missing
similarity_ltnumeric2087 unique values
0 missing
influence_ltnumeric2695 unique values
0 missing
dissimilarity_ltnumeric728 unique values
0 missing
emptiness_ltnumeric1068 unique values
0 missing
similarity_lbnumeric2119 unique values
0 missing
influence_lbnumeric2912 unique values
0 missing
dissimilarity_lbnumeric845 unique values
0 missing
emptiness_lbnumeric1236 unique values
0 missing
similarity_rtnumeric1992 unique values
0 missing
influence_rtnumeric2730 unique values
0 missing
dissimilarity_rtnumeric806 unique values
0 missing
emptiness_rtnumeric1207 unique values
0 missing
similarity_rbnumeric1652 unique values
0 missing
influence_rbnumeric2351 unique values
0 missing
dissimilarity_rbnumeric612 unique values
0 missing
emptiness_rbnumeric1147 unique values
0 missing
similarity_lrtnumeric3612 unique values
0 missing
influence_lrtnumeric5423 unique values
0 missing
dissimilarity_lrtnumeric1390 unique values
0 missing
emptiness_lrtnumeric1688 unique values
0 missing
similarity_lrbnumeric3378 unique values
0 missing
influence_lrbnumeric5206 unique values
0 missing
dissimilarity_lrbnumeric1356 unique values
0 missing
emptiness_lrbnumeric1706 unique values
0 missing
similarity_ltbnumeric3708 unique values
0 missing
influence_ltbnumeric5457 unique values
0 missing
dissimilarity_ltbnumeric1412 unique values
0 missing
emptiness_ltbnumeric1918 unique values
0 missing
similarity_rtbnumeric3313 unique values
0 missing
influence_rtbnumeric5005 unique values
0 missing
dissimilarity_rtbnumeric1352 unique values
0 missing
emptiness_rtbnumeric1980 unique values
0 missing
similarity_overallnumeric3794 unique values
0 missing
influence_overallnumeric5628 unique values
0 missing
dissimilarity_overallnumeric1280 unique values
0 missing
emptiness_overallnumeric1614 unique values
0 missing
Show all 77 features

62 properties

NumberOfInstances
44690
Number of instances (rows) of the dataset.
NumberOfFeatures
77
Number of attributes (columns) of the dataset.
NumberOfClasses
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
67
Number of numeric attributes.
NumberOfSymbolicFeatures
6
Number of nominal attributes.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
87.01
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
0.39
Third quartile of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinSkewnessOfNumericAtts
0.03
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
7.79
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
5
The maximum number of distinct values among attributes of the nominal type.
MinStdDevOfNumericAtts
0.16
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
2.13
Third quartile of skewness among attributes of the numeric type.
MaxSkewnessOfNumericAtts
86.29
Maximum skewness among attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
-0.79
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.33
Third quartile of standard deviation of attributes of the numeric type.
MaxStdDevOfNumericAtts
147157.18
Maximum standard deviation of attributes of the numeric type.
MinorityClassSize
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
0.16
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
1.22
Standard deviation of the number of distinct values among attributes of the nominal type.
MeanAttributeEntropy
Average entropy of the attributes.
NumberOfBinaryFeatures
5
Number of binary attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
MeanKurtosisOfNumericAtts
259.09
Mean kurtosis among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
0.48
First quartile of skewness among attributes of the numeric type.
MeanMeansOfNumericAtts
325.72
Mean of means among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.25
First quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
Average class difference between consecutive instances.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
ClassEntropy
Entropy of the target attribute values.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Quartile2KurtosisOfNumericAtts
-0.1
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0
Number of attributes divided by the number of instances.
MeanNominalAttDistinctValues
2.5
Average number of distinct values among the attributes of the nominal type.
Quartile2MeansOfNumericAtts
0.33
Second quartile (Median) of means among attributes of the numeric type.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MeanSkewnessOfNumericAtts
4.68
Mean skewness among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
2402.2
Mean standard deviation of attributes of the numeric type.
Quartile2SkewnessOfNumericAtts
0.83
Second quartile (Median) of skewness among attributes of the numeric type.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
PercentageOfBinaryFeatures
6.49
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.29
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.94
Minimum kurtosis among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxKurtosisOfNumericAtts
7444.17
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.06
Minimum of means among attributes of the numeric type.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
3.94
Third quartile of kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
21074.28
Maximum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
Show all 62 properties

11 tasks

Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
Clustering on XYZ
0 runs - estimation_procedure: 50 times Clustering
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