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PLK_Mini_Copy

PLK_Mini_Copy

active ARFF CC BY-NC 4.0 Visibility: public Uploaded 30-03-2023 by Karen
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A copy of PLK_Mini dataset from Meta album Set0

3 features

CATEGORY (target)nominal86 unique values
0 missing
FILE_NAMEstring3440 unique values
0 missing
SUPER_CATEGORYnumeric0 unique values
3440 missing
Show all 3 features

19 properties

NumberOfInstances
3440
Number of instances (rows) of the dataset.
NumberOfFeatures
3
Number of attributes (columns) of the dataset.
NumberOfClasses
86
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
3440
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
3440
Number of instances with at least one value missing.
NumberOfNumericFeatures
1
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfSymbolicFeatures
33.33
Percentage of nominal attributes.
AutoCorrelation
0.01
Average class difference between consecutive instances.
PercentageOfNumericFeatures
33.33
Percentage of numeric attributes.
PercentageOfMissingValues
33.33
Percentage of missing values.
PercentageOfInstancesWithMissingValues
100
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
40
Number of instances belonging to the least frequent class.
MinorityClassPercentage
1.16
Percentage of instances belonging to the least frequent class.
MajorityClassSize
40
Number of instances belonging to the most frequent class.
MajorityClassPercentage
1.16
Percentage of instances belonging to the most frequent class.
Dimensionality
0
Number of attributes divided by the number of instances.
Show all 19 properties

3 tasks

Supervised Classification on PLK_Mini_Copy
1 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CATEGORY
Supervised Classification on PLK_Mini_Copy
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on PLK_Mini_Copy
0 runs - estimation_procedure: 10% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
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