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test001

test001

active ARFF Public Domain (CC0) Visibility: public Uploaded 09-01-2020 by Florian Martet
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test001

9 features

pregnumeric17 unique values
0 missing
plasnumeric136 unique values
0 missing
presnumeric47 unique values
0 missing
skinnumeric51 unique values
0 missing
insunumeric186 unique values
0 missing
massnumeric248 unique values
0 missing
pedinumeric517 unique values
0 missing
agenumeric52 unique values
0 missing
classnominal2 unique values
0 missing
Show all 9 features

19 properties

NumberOfInstances
768
Number of instances (rows) of the dataset.
NumberOfFeatures
9
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
8
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
88.89
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
11.11
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.
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
11.11
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.
Show all 19 properties

11 tasks

Learning Curve on test001
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on test001
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on test001
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering - target_feature: test
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering
Clustering on test001
0 runs - estimation_procedure: 50 times Clustering
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