Data
meta_features

meta_features

active ARFF Publicly available Visibility: public Uploaded 31-07-2024 by Devika Panneer Selvam
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Meta features classified with best models

32 features

Models (target)string10 unique values
0 missing
DatasetRationumeric66 unique values
0 missing
InverseDatasetRationumeric66 unique values
0 missing
KurtosisMaxnumeric72 unique values
0 missing
KurtosisMeannumeric74 unique values
0 missing
KurtosisMinnumeric68 unique values
0 missing
KurtosisSTDnumeric74 unique values
0 missing
LogDatasetRationumeric66 unique values
0 missing
LogInverseDatasetRationumeric66 unique values
0 missing
LogNumberOfFeaturesnumeric34 unique values
0 missing
LogNumberOfInstancesnumeric59 unique values
0 missing
NumberOfCategoricalFeaturesnumeric13 unique values
0 missing
NumberOfFeaturesnumeric34 unique values
0 missing
NumberOfFeaturesWithMissingValuesnumeric6 unique values
0 missing
NumberOfInstancesnumeric59 unique values
0 missing
NumberOfInstancesWithMissingValuesnumeric7 unique values
0 missing
NumberOfMissingValuesnumeric7 unique values
0 missing
NumberOfNumericFeaturesnumeric33 unique values
0 missing
PercentageOfFeaturesWithMissingValuesnumeric5 unique values
0 missing
PercentageOfInstancesWithMissingValuesnumeric7 unique values
0 missing
PercentageOfMissingValuesnumeric7 unique values
0 missing
RatioNominalToNumericalnumeric24 unique values
0 missing
RatioNumericalToNominalnumeric24 unique values
0 missing
SkewnessMaxnumeric72 unique values
0 missing
SkewnessMeannumeric74 unique values
0 missing
SkewnessMinnumeric71 unique values
0 missing
SkewnessSTDnumeric74 unique values
0 missing
SymbolsMaxnumeric29 unique values
0 missing
SymbolsMeannumeric30 unique values
0 missing
SymbolsMinnumeric17 unique values
0 missing
SymbolsSTDnumeric22 unique values
0 missing
SymbolsSumnumeric29 unique values
0 missing

19 properties

75
Number of instances (rows) of the dataset.
32
Number of attributes (columns) of the dataset.
10
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
31
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0.43
Number of attributes divided by the number of instances.
96.88
Percentage of numeric attributes.
29.33
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
22
Number of instances belonging to the most frequent class.
2.67
Percentage of instances belonging to the least frequent class.
2
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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