OpenML
nadeem

nadeem

active ARFF Public Domain (CC0) Visibility: public Uploaded 24-03-2020 by Nadeem Muhammad
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TEST STUDENTS DATA

11 features

a0nominal2 unique values
0 missing
a1nominal2 unique values
0 missing
a2nominal2 unique values
0 missing
a3nominal2 unique values
0 missing
a4nominal2 unique values
0 missing
a5nominal2 unique values
0 missing
a6nominal2 unique values
0 missing
a7nominal2 unique values
0 missing
a8nominal2 unique values
0 missing
a9nominal2 unique values
0 missing
classnominal2 unique values
0 missing
Show all 11 features

19 properties

NumberOfInstances
100
Number of instances (rows) of the dataset.
NumberOfFeatures
11
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
0
Number of numeric attributes.
NumberOfSymbolicFeatures
11
Number of nominal attributes.
Dimensionality
0.11
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
100
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
11
Number of binary attributes.
PercentageOfBinaryFeatures
100
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

9 tasks

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