Data
Automl_meta_feat

Automl_meta_feat

active ARFF Publicly available Visibility: public Uploaded 31-07-2024 by Deepu Krishanreddy
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Automl_meta_feat

32 features

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
Modelsstring10 unique values
0 missing
Show all 32 features

19 properties

NumberOfInstances
75
Number of instances (rows) of the dataset.
NumberOfFeatures
32
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
31
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.43
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
96.88
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
Show all 19 properties

0 tasks

Define a new task