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Olivetti_Faces

Olivetti_Faces

active ARFF Public Domain (CC0) Visibility: public Uploaded 14-05-2018 by Hall
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Author: AT&T Laboratories Cambridge Source: http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html - Date: 1992-1994 Please cite: This dataset contains a set of face images taken between April 1992 and April 1994 at AT&T Laboratories Cambridge. As described on the original website: There are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The image is quantized to 256 grey levels and stored as unsigned 8-bit integers; the loader will convert these to floating point values on the interval [0, 1], which are easier to work with for many algorithms. The “target” for this database is an integer from 0 to 39 indicating the identity of the person pictured; however, with only 10 examples per class, this relatively small dataset is more interesting from an unsupervised or semi-supervised perspective. The original dataset consisted of 92 x 112, while the version available here consists of 64x64 images. When using these images, please give credit to AT&T Laboratories Cambridge.

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Show first 100 features

62 properties

NumberOfInstances
400
Number of instances (rows) of the dataset.
NumberOfFeatures
4097
Number of attributes (columns) of the dataset.
NumberOfClasses
40
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
4096
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
99.98
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0.02
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-0.49
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.48
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
-0.57
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.12
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
-0.25
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.54
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
-0.24
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.14
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
0.14
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.62
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
0
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.15
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.9
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
0.55
Mean of means among attributes of the numeric type.
ClassEntropy
5.32
Entropy of the target attribute values.
Dimensionality
10.24
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
2.5
Percentage of instances belonging to the most frequent class.
MajorityClassSize
10
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
4.88
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
0.75
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
40
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
1.08
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.21
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
0.02
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
40
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
-0.3
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.14
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.1
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.24
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
40
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-2.06
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.09
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
2.5
Percentage of instances belonging to the least frequent class.
MinorityClassSize
10
Number of instances belonging to the least frequent class.
Show all 62 properties

15 tasks

Supervised Classification on Olivetti_Faces
53 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
Learning Curve on Olivetti_Faces
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Olivetti_Faces
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Olivetti_Faces
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Olivetti_Faces
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on Olivetti_Faces
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Clustering on Olivetti_Faces
0 runs - estimation_procedure: 50 times Clustering
Define a new task