Data
MNIST

MNIST

in_preparation ARFF Public Domain (CC0) Visibility: public Uploaded 22-03-2018 by Silvia Nunes
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MNIST database of handwritten digits. From http://yann.lecun.com/exdb/mnist/

785 features

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a218numeric256 unique values
0 missing
a474numeric83 unique values
0 missing
a730numeric1 unique values
0 missing
a219numeric256 unique values
0 missing
a475numeric12 unique values
0 missing
a731numeric2 unique values
0 missing
a220numeric256 unique values
0 missing
a476numeric1 unique values
0 missing
a732numeric25 unique values
0 missing
a221numeric246 unique values
0 missing
a477numeric8 unique values
0 missing
a733numeric75 unique values
0 missing
a222numeric158 unique values
0 missing
a478numeric48 unique values
0 missing
a734numeric141 unique values
0 missing
a223numeric22 unique values
0 missing
a479numeric190 unique values
0 missing
a735numeric194 unique values
0 missing
a224numeric3 unique values
0 missing
a480numeric256 unique values
0 missing
a736numeric239 unique values
0 missing
a225numeric27 unique values
0 missing
a481numeric256 unique values
0 missing
a737numeric246 unique values
0 missing
a226numeric126 unique values
0 missing
a482numeric256 unique values
0 missing
a738numeric256 unique values
0 missing
a227numeric212 unique values
0 missing
a483numeric256 unique values
0 missing
a739numeric256 unique values
0 missing
a228numeric249 unique values
0 missing
a484numeric256 unique values
0 missing
a740numeric255 unique values
0 missing
a229numeric255 unique values
0 missing
a485numeric256 unique values
0 missing
a741numeric255 unique values
0 missing
a230numeric256 unique values
0 missing
a486numeric256 unique values
0 missing
a742numeric255 unique values
0 missing
a231numeric256 unique values
0 missing
a487numeric256 unique values
0 missing
a743numeric254 unique values
0 missing
a232numeric256 unique values
0 missing
a488numeric256 unique values
0 missing
a744numeric251 unique values
0 missing
a233numeric256 unique values
0 missing
a489numeric256 unique values
0 missing
a745numeric243 unique values
0 missing
a234numeric256 unique values
0 missing
a490numeric256 unique values
0 missing
a746numeric229 unique values
0 missing
a235numeric256 unique values
0 missing
a491numeric256 unique values
0 missing
a747numeric184 unique values
0 missing
a236numeric256 unique values
0 missing
a492numeric256 unique values
0 missing
a748numeric129 unique values
0 missing
a237numeric256 unique values
0 missing
a493numeric256 unique values
0 missing
a749numeric91 unique values
0 missing
a238numeric256 unique values
0 missing
a494numeric256 unique values
0 missing
a750numeric45 unique values
0 missing
a239numeric256 unique values
0 missing
a495numeric256 unique values
0 missing
a751numeric15 unique values
0 missing
a240numeric256 unique values
0 missing
a496numeric256 unique values
0 missing
a752numeric3 unique values
0 missing
a241numeric256 unique values
0 missing
a497numeric256 unique values
0 missing
a753numeric2 unique values
0 missing
a242numeric256 unique values
0 missing
a498numeric256 unique values
0 missing
a754numeric1 unique values
0 missing
a243numeric256 unique values
0 missing
a499numeric256 unique values
0 missing
a755numeric1 unique values
0 missing
a244numeric256 unique values
0 missing
a500numeric255 unique values
0 missing
a756numeric1 unique values
0 missing
a245numeric256 unique values
0 missing
a501numeric217 unique values
0 missing
a757numeric1 unique values
0 missing
a246numeric256 unique values
0 missing
a502numeric87 unique values
0 missing
a758numeric1 unique values
0 missing
a247numeric256 unique values
0 missing
a503numeric14 unique values
0 missing
a759numeric1 unique values
0 missing
a248numeric256 unique values
0 missing
a504numeric4 unique values
0 missing
a760numeric4 unique values
0 missing
a249numeric250 unique values
0 missing
a505numeric7 unique values
0 missing
a761numeric7 unique values
0 missing
a250numeric146 unique values
0 missing
a506numeric82 unique values
0 missing
a762numeric22 unique values
0 missing
a251numeric16 unique values
0 missing
a507numeric219 unique values
0 missing
a763numeric38 unique values
0 missing
a252numeric5 unique values
0 missing
a508numeric256 unique values
0 missing
a764numeric50 unique values
0 missing
a253numeric41 unique values
0 missing
a509numeric256 unique values
0 missing
a765numeric61 unique values
0 missing
a254numeric137 unique values
0 missing
a510numeric256 unique values
0 missing
a766numeric107 unique values
0 missing
a255numeric223 unique values
0 missing
a511numeric256 unique values
0 missing
a767numeric123 unique values
0 missing

62 properties

62000
Number of instances (rows) of the dataset.
785
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
785
Number of numeric attributes.
0
Number of nominal attributes.
0.14
Mean of means among attributes of the numeric type.
0.86
First quartile of skewness among attributes of the numeric type.
-2.3
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.02
First quartile of standard deviation of attributes of the numeric type.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0.01
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
15.95
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
29.64
Mean skewness among attributes of the numeric type.
0.03
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
0.2
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
4.11
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.83
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.15
Second quartile (Median) of standard deviation of attributes of the numeric type.
62000
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
4.45
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
582.56
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of numeric attributes.
0.27
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-0.23
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
249
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
23.31
Third quartile of skewness among attributes of the numeric type.
2.89
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-1.04
First quartile of kurtosis among attributes of the numeric type.
0.39
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
4397.99
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.

13 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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