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EMNIST_Balanced

EMNIST_Balanced

active ARFF Publicly available Visibility: public Uploaded 05-03-2018 by Irfan Nur Afif
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EMNIST Balanced https://www.nist.gov/itl/iad/image-group/emnist-dataset

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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
pixel220numeric256 unique values
0 missing
pixel476numeric2 unique values
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pixel477numeric3 unique values
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0 missing
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0 missing
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0 missing
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0 missing
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Show first 100 features

19 properties

NumberOfInstances
131600
Number of instances (rows) of the dataset.
NumberOfFeatures
785
Number of attributes (columns) of the dataset.
NumberOfClasses
47
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
784
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
99.87
Percentage of numeric attributes.
MajorityClassPercentage
2.13
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0.13
Percentage of nominal attributes.
MajorityClassSize
2800
Number of instances belonging to the most frequent class.
MinorityClassPercentage
2.13
Percentage of instances belonging to the least frequent class.
MinorityClassSize
2800
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.02
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

18 tasks

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