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TEST0479bef675-pandas_testing_dataset
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TEST0479bef675-pandas_testing_dataset
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MIT
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Uploaded 25-11-2022 by
Continuous Integration
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Synthetic dataset created from a Pandas DataFrame with Sparse columns
1 features
rnd_str
(target)
nominal
5 unique values
0 missing
Show all 1 features
19 properties
NumberOfInstances
5
Number of instances (rows) of the dataset.
NumberOfFeatures
1
Number of attributes (columns) of the dataset.
NumberOfClasses
5
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
0
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfSymbolicFeatures
100
Percentage of nominal attributes.
AutoCorrelation
0
Average class difference between consecutive instances.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
1
Number of instances belonging to the least frequent class.
MinorityClassPercentage
20
Percentage of instances belonging to the least frequent class.
MajorityClassSize
1
Number of instances belonging to the most frequent class.
MajorityClassPercentage
20
Percentage of instances belonging to the most frequent class.
Dimensionality
0.2
Number of attributes divided by the number of instances.
Show all 19 properties
2 tasks
Supervised Classification on TEST0479bef675-pandas_testing_dataset
0 runs
- estimation_procedure: 10-fold Crossvalidation - target_feature: rnd_str
Learning Curve on TEST0479bef675-pandas_testing_dataset
0 runs
- estimation_procedure: 10-fold Learning Curve - target_feature: rnd_str
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