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mfeat-pixel

mfeat-pixel

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Author: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 Please cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) Multiple Features Dataset: Pixel One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. The maps were scanned in 8 bit grey value at density of 400dpi, scanned, sharpened, and thresholded. Corresponding patterns in different datasets correspond to the same original character. 200 instances per class (for a total of 2,000 instances) have been digitized in binary images. Using this dataset, sampled versions of the original images may be obtained (15 x 16 pixels). ### Attribute Information __Only change w.r.t. version 1: variable format transformed to numeric.__ The mfeatures represent 240 (15 x 16) pixel averages in 2 x 3 windows. ### Relevant Papers A slightly different version of the database is used in M. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, no. 4, 1998, 381-386. The database as is is used in: A.K. Jain, R.P.W. Duin, J. Mao, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence archive, Volume 22 Issue 1, January 2000

241 features

class (target)nominal10 unique values
0 missing
att1numeric6 unique values
0 missing
att2numeric7 unique values
0 missing
att3numeric7 unique values
0 missing
att4numeric7 unique values
0 missing
att5numeric7 unique values
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att6numeric7 unique values
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att7numeric7 unique values
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att8numeric7 unique values
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att9numeric7 unique values
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att10numeric7 unique values
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att11numeric7 unique values
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att12numeric7 unique values
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att13numeric7 unique values
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att14numeric7 unique values
0 missing
att15numeric6 unique values
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att16numeric7 unique values
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att17numeric7 unique values
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att18numeric7 unique values
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att19numeric7 unique values
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att20numeric7 unique values
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att21numeric7 unique values
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att22numeric7 unique values
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att23numeric7 unique values
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att24numeric7 unique values
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att25numeric7 unique values
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att26numeric7 unique values
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att27numeric7 unique values
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att28numeric7 unique values
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att29numeric7 unique values
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att30numeric7 unique values
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att31numeric7 unique values
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att32numeric7 unique values
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att33numeric7 unique values
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att34numeric7 unique values
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att35numeric7 unique values
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att36numeric7 unique values
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att37numeric7 unique values
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att38numeric7 unique values
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att39numeric7 unique values
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att40numeric7 unique values
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att41numeric7 unique values
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att42numeric7 unique values
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att43numeric7 unique values
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att44numeric7 unique values
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att45numeric7 unique values
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att46numeric7 unique values
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att47numeric7 unique values
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att48numeric7 unique values
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att49numeric7 unique values
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att50numeric7 unique values
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att51numeric7 unique values
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att52numeric7 unique values
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att53numeric7 unique values
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att54numeric7 unique values
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att55numeric7 unique values
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att56numeric7 unique values
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att57numeric7 unique values
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att58numeric7 unique values
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att59numeric7 unique values
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att60numeric7 unique values
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att61numeric7 unique values
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att62numeric7 unique values
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att63numeric7 unique values
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att64numeric7 unique values
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att65numeric7 unique values
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att66numeric7 unique values
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att67numeric7 unique values
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att68numeric7 unique values
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att69numeric7 unique values
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att70numeric7 unique values
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att71numeric7 unique values
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att72numeric7 unique values
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att73numeric7 unique values
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att74numeric7 unique values
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att75numeric7 unique values
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att76numeric7 unique values
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att77numeric7 unique values
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att78numeric7 unique values
0 missing
att79numeric7 unique values
0 missing
att80numeric7 unique values
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att81numeric7 unique values
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att82numeric7 unique values
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att83numeric7 unique values
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att84numeric7 unique values
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att85numeric7 unique values
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att86numeric7 unique values
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att87numeric7 unique values
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att88numeric7 unique values
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att89numeric7 unique values
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att90numeric7 unique values
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att91numeric7 unique values
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att92numeric7 unique values
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att93numeric7 unique values
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att94numeric7 unique values
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att95numeric7 unique values
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att96numeric7 unique values
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att97numeric7 unique values
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att98numeric7 unique values
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att99numeric7 unique values
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att100numeric7 unique values
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att101numeric7 unique values
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att102numeric7 unique values
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att103numeric7 unique values
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att104numeric7 unique values
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att105numeric7 unique values
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att106numeric7 unique values
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att107numeric7 unique values
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att108numeric7 unique values
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att109numeric7 unique values
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att110numeric7 unique values
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att111numeric7 unique values
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att112numeric7 unique values
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att113numeric7 unique values
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att114numeric7 unique values
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att115numeric7 unique values
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att116numeric7 unique values
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att117numeric7 unique values
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att118numeric7 unique values
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att119numeric7 unique values
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att120numeric7 unique values
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att121numeric7 unique values
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att122numeric7 unique values
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att123numeric7 unique values
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att124numeric7 unique values
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att125numeric7 unique values
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att126numeric7 unique values
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att127numeric7 unique values
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att128numeric7 unique values
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att129numeric7 unique values
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att130numeric7 unique values
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att131numeric7 unique values
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att132numeric7 unique values
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att133numeric7 unique values
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att138numeric7 unique values
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att140numeric7 unique values
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att141numeric7 unique values
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att142numeric7 unique values
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att143numeric7 unique values
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att144numeric7 unique values
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att145numeric7 unique values
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att160numeric7 unique values
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att161numeric7 unique values
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att162numeric7 unique values
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att163numeric7 unique values
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att164numeric7 unique values
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att165numeric7 unique values
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att166numeric7 unique values
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att167numeric7 unique values
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att168numeric7 unique values
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att170numeric7 unique values
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att171numeric7 unique values
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att172numeric7 unique values
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att173numeric7 unique values
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att174numeric7 unique values
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att175numeric7 unique values
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att176numeric7 unique values
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att177numeric7 unique values
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att181numeric7 unique values
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att182numeric7 unique values
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att183numeric7 unique values
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att184numeric7 unique values
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att185numeric7 unique values
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att186numeric7 unique values
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att187numeric7 unique values
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att188numeric7 unique values
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att189numeric7 unique values
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att194numeric7 unique values
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att195numeric7 unique values
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att196numeric7 unique values
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att197numeric7 unique values
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att198numeric7 unique values
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att199numeric7 unique values
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att200numeric7 unique values
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att201numeric7 unique values
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att202numeric7 unique values
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att203numeric7 unique values
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att204numeric7 unique values
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att205numeric7 unique values
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att206numeric7 unique values
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att207numeric7 unique values
0 missing
att208numeric7 unique values
0 missing
att209numeric7 unique values
0 missing
att210numeric7 unique values
0 missing
att211numeric7 unique values
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att212numeric7 unique values
0 missing
att213numeric7 unique values
0 missing
att214numeric7 unique values
0 missing
att215numeric7 unique values
0 missing
att216numeric7 unique values
0 missing
att217numeric7 unique values
0 missing
att218numeric7 unique values
0 missing
att219numeric7 unique values
0 missing
att220numeric7 unique values
0 missing
att221numeric7 unique values
0 missing
att222numeric7 unique values
0 missing
att223numeric7 unique values
0 missing
att224numeric7 unique values
0 missing
att225numeric7 unique values
0 missing
att226numeric5 unique values
0 missing
att227numeric5 unique values
0 missing
att228numeric5 unique values
0 missing
att229numeric5 unique values
0 missing
att230numeric5 unique values
0 missing
att231numeric5 unique values
0 missing
att232numeric5 unique values
0 missing
att233numeric5 unique values
0 missing
att234numeric5 unique values
0 missing
att235numeric5 unique values
0 missing
att236numeric5 unique values
0 missing
att237numeric5 unique values
0 missing
att238numeric5 unique values
0 missing
att239numeric5 unique values
0 missing
att240numeric5 unique values
0 missing
Show first 100 features

62 properties

NumberOfInstances
2000
Number of instances (rows) of the dataset.
NumberOfFeatures
241
Number of attributes (columns) of the dataset.
NumberOfClasses
10
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
240
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
99.59
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0.41
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.77
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
3.35
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
-0.69
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
2.23
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
-1.55
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
4.1
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
-0.18
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
2.62
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
-0.68
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
4.93
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
0.38
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
2.73
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
1
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
4.03
Mean of means among attributes of the numeric type.
ClassEntropy
3.32
Entropy of the target attribute values.
Dimensionality
0.12
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
10
Percentage of instances belonging to the most frequent class.
MajorityClassSize
200
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
18.12
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
6.28
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
10
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
4.3
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
2.89
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
-0.83
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
10
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
-0.04
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
2.45
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.92
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
1.18
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
10
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-2.34
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.69
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
10
Percentage of instances belonging to the least frequent class.
MinorityClassSize
200
Number of instances belonging to the least frequent class.
Show all 62 properties

23 tasks

Supervised Classification on mfeat-pixel
11351 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
Supervised Classification on mfeat-pixel
0 runs - estimation_procedure: 33% Holdout set - target_feature: class
Supervised Classification on mfeat-pixel
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on mfeat-pixel
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: class
Supervised Classification on mfeat-pixel
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: class
Learning Curve on mfeat-pixel
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on mfeat-pixel
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on mfeat-pixel
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on mfeat-pixel
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on mfeat-pixel
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on mfeat-pixel
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on mfeat-pixel
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on mfeat-pixel
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on mfeat-pixel
0 runs
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
Clustering on mfeat-pixel
0 runs - estimation_procedure: 50 times Clustering
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