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mfeat-pixel

active ARFF Publicly available Visibility: public Uploaded 03-12-2017 by Jann Goschenhofer
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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)	nominal	10 unique values 0 missing
att1	numeric	6 unique values 0 missing
att2	numeric	7 unique values 0 missing
att3	numeric	7 unique values 0 missing
att4	numeric	7 unique values 0 missing
att5	numeric	7 unique values 0 missing
att6	numeric	7 unique values 0 missing
att7	numeric	7 unique values 0 missing
att8	numeric	7 unique values 0 missing
att9	numeric	7 unique values 0 missing
att10	numeric	7 unique values 0 missing
att11	numeric	7 unique values 0 missing
att12	numeric	7 unique values 0 missing
att13	numeric	7 unique values 0 missing
att14	numeric	7 unique values 0 missing
att15	numeric	6 unique values 0 missing
att16	numeric	7 unique values 0 missing
att17	numeric	7 unique values 0 missing
att18	numeric	7 unique values 0 missing
att19	numeric	7 unique values 0 missing
att20	numeric	7 unique values 0 missing
att21	numeric	7 unique values 0 missing
att22	numeric	7 unique values 0 missing
att23	numeric	7 unique values 0 missing
att24	numeric	7 unique values 0 missing
att25	numeric	7 unique values 0 missing
att26	numeric	7 unique values 0 missing
att27	numeric	7 unique values 0 missing
att28	numeric	7 unique values 0 missing
att29	numeric	7 unique values 0 missing
att30	numeric	7 unique values 0 missing
att31	numeric	7 unique values 0 missing
att32	numeric	7 unique values 0 missing
att33	numeric	7 unique values 0 missing
att34	numeric	7 unique values 0 missing
att35	numeric	7 unique values 0 missing
att36	numeric	7 unique values 0 missing
att37	numeric	7 unique values 0 missing
att38	numeric	7 unique values 0 missing
att39	numeric	7 unique values 0 missing
att40	numeric	7 unique values 0 missing
att41	numeric	7 unique values 0 missing
att42	numeric	7 unique values 0 missing
att43	numeric	7 unique values 0 missing
att44	numeric	7 unique values 0 missing
att45	numeric	7 unique values 0 missing
att46	numeric	7 unique values 0 missing
att47	numeric	7 unique values 0 missing
att48	numeric	7 unique values 0 missing
att49	numeric	7 unique values 0 missing
att50	numeric	7 unique values 0 missing
att51	numeric	7 unique values 0 missing
att52	numeric	7 unique values 0 missing
att53	numeric	7 unique values 0 missing
att54	numeric	7 unique values 0 missing
att55	numeric	7 unique values 0 missing
att56	numeric	7 unique values 0 missing
att57	numeric	7 unique values 0 missing
att58	numeric	7 unique values 0 missing
att59	numeric	7 unique values 0 missing
att60	numeric	7 unique values 0 missing
att61	numeric	7 unique values 0 missing
att62	numeric	7 unique values 0 missing
att63	numeric	7 unique values 0 missing
att64	numeric	7 unique values 0 missing
att65	numeric	7 unique values 0 missing
att66	numeric	7 unique values 0 missing
att67	numeric	7 unique values 0 missing
att68	numeric	7 unique values 0 missing
att69	numeric	7 unique values 0 missing
att70	numeric	7 unique values 0 missing
att71	numeric	7 unique values 0 missing
att72	numeric	7 unique values 0 missing
att73	numeric	7 unique values 0 missing
att74	numeric	7 unique values 0 missing
att75	numeric	7 unique values 0 missing
att76	numeric	7 unique values 0 missing
att77	numeric	7 unique values 0 missing
att78	numeric	7 unique values 0 missing
att79	numeric	7 unique values 0 missing
att80	numeric	7 unique values 0 missing
att81	numeric	7 unique values 0 missing
att82	numeric	7 unique values 0 missing
att83	numeric	7 unique values 0 missing
att84	numeric	7 unique values 0 missing
att85	numeric	7 unique values 0 missing
att86	numeric	7 unique values 0 missing
att87	numeric	7 unique values 0 missing
att88	numeric	7 unique values 0 missing
att89	numeric	7 unique values 0 missing
att90	numeric	7 unique values 0 missing
att91	numeric	7 unique values 0 missing
att92	numeric	7 unique values 0 missing
att93	numeric	7 unique values 0 missing
att94	numeric	7 unique values 0 missing
att95	numeric	7 unique values 0 missing
att96	numeric	7 unique values 0 missing
att97	numeric	7 unique values 0 missing
att98	numeric	7 unique values 0 missing
att99	numeric	7 unique values 0 missing
att100	numeric	7 unique values 0 missing
att101	numeric	7 unique values 0 missing
att102	numeric	7 unique values 0 missing
att103	numeric	7 unique values 0 missing
att104	numeric	7 unique values 0 missing
att105	numeric	7 unique values 0 missing
att106	numeric	7 unique values 0 missing
att107	numeric	7 unique values 0 missing
att108	numeric	7 unique values 0 missing
att109	numeric	7 unique values 0 missing
att110	numeric	7 unique values 0 missing
att111	numeric	7 unique values 0 missing
att112	numeric	7 unique values 0 missing
att113	numeric	7 unique values 0 missing
att114	numeric	7 unique values 0 missing
att115	numeric	7 unique values 0 missing
att116	numeric	7 unique values 0 missing
att117	numeric	7 unique values 0 missing
att118	numeric	7 unique values 0 missing
att119	numeric	7 unique values 0 missing
att120	numeric	7 unique values 0 missing
att121	numeric	7 unique values 0 missing
att122	numeric	7 unique values 0 missing
att123	numeric	7 unique values 0 missing
att124	numeric	7 unique values 0 missing
att125	numeric	7 unique values 0 missing
att126	numeric	7 unique values 0 missing
att127	numeric	7 unique values 0 missing
att128	numeric	7 unique values 0 missing
att129	numeric	7 unique values 0 missing
att130	numeric	7 unique values 0 missing
att131	numeric	7 unique values 0 missing
att132	numeric	7 unique values 0 missing
att133	numeric	7 unique values 0 missing
att134	numeric	7 unique values 0 missing
att135	numeric	7 unique values 0 missing
att136	numeric	7 unique values 0 missing
att137	numeric	7 unique values 0 missing
att138	numeric	7 unique values 0 missing
att139	numeric	7 unique values 0 missing
att140	numeric	7 unique values 0 missing
att141	numeric	7 unique values 0 missing
att142	numeric	7 unique values 0 missing
att143	numeric	7 unique values 0 missing
att144	numeric	7 unique values 0 missing
att145	numeric	7 unique values 0 missing
att146	numeric	7 unique values 0 missing
att147	numeric	7 unique values 0 missing
att148	numeric	7 unique values 0 missing
att149	numeric	7 unique values 0 missing
att150	numeric	7 unique values 0 missing
att151	numeric	7 unique values 0 missing
att152	numeric	7 unique values 0 missing
att153	numeric	7 unique values 0 missing
att154	numeric	7 unique values 0 missing
att155	numeric	7 unique values 0 missing
att156	numeric	7 unique values 0 missing
att157	numeric	7 unique values 0 missing
att158	numeric	7 unique values 0 missing
att159	numeric	7 unique values 0 missing
att160	numeric	7 unique values 0 missing
att161	numeric	7 unique values 0 missing
att162	numeric	7 unique values 0 missing
att163	numeric	7 unique values 0 missing
att164	numeric	7 unique values 0 missing
att165	numeric	7 unique values 0 missing
att166	numeric	7 unique values 0 missing
att167	numeric	7 unique values 0 missing
att168	numeric	7 unique values 0 missing
att169	numeric	7 unique values 0 missing
att170	numeric	7 unique values 0 missing
att171	numeric	7 unique values 0 missing
att172	numeric	7 unique values 0 missing
att173	numeric	7 unique values 0 missing
att174	numeric	7 unique values 0 missing
att175	numeric	7 unique values 0 missing
att176	numeric	7 unique values 0 missing
att177	numeric	7 unique values 0 missing
att178	numeric	7 unique values 0 missing
att179	numeric	7 unique values 0 missing
att180	numeric	7 unique values 0 missing
att181	numeric	7 unique values 0 missing
att182	numeric	7 unique values 0 missing
att183	numeric	7 unique values 0 missing
att184	numeric	7 unique values 0 missing
att185	numeric	7 unique values 0 missing
att186	numeric	7 unique values 0 missing
att187	numeric	7 unique values 0 missing
att188	numeric	7 unique values 0 missing
att189	numeric	7 unique values 0 missing
att190	numeric	7 unique values 0 missing
att191	numeric	7 unique values 0 missing
att192	numeric	7 unique values 0 missing
att193	numeric	7 unique values 0 missing
att194	numeric	7 unique values 0 missing
att195	numeric	7 unique values 0 missing
att196	numeric	7 unique values 0 missing
att197	numeric	7 unique values 0 missing
att198	numeric	7 unique values 0 missing
att199	numeric	7 unique values 0 missing
att200	numeric	7 unique values 0 missing
att201	numeric	7 unique values 0 missing
att202	numeric	7 unique values 0 missing
att203	numeric	7 unique values 0 missing
att204	numeric	7 unique values 0 missing
att205	numeric	7 unique values 0 missing
att206	numeric	7 unique values 0 missing
att207	numeric	7 unique values 0 missing
att208	numeric	7 unique values 0 missing
att209	numeric	7 unique values 0 missing
att210	numeric	7 unique values 0 missing
att211	numeric	7 unique values 0 missing
att212	numeric	7 unique values 0 missing
att213	numeric	7 unique values 0 missing
att214	numeric	7 unique values 0 missing
att215	numeric	7 unique values 0 missing
att216	numeric	7 unique values 0 missing
att217	numeric	7 unique values 0 missing
att218	numeric	7 unique values 0 missing
att219	numeric	7 unique values 0 missing
att220	numeric	7 unique values 0 missing
att221	numeric	7 unique values 0 missing
att222	numeric	7 unique values 0 missing
att223	numeric	7 unique values 0 missing
att224	numeric	7 unique values 0 missing
att225	numeric	7 unique values 0 missing
att226	numeric	5 unique values 0 missing
att227	numeric	5 unique values 0 missing
att228	numeric	5 unique values 0 missing
att229	numeric	5 unique values 0 missing
att230	numeric	5 unique values 0 missing
att231	numeric	5 unique values 0 missing
att232	numeric	5 unique values 0 missing
att233	numeric	5 unique values 0 missing
att234	numeric	5 unique values 0 missing
att235	numeric	5 unique values 0 missing
att236	numeric	5 unique values 0 missing
att237	numeric	5 unique values 0 missing
att238	numeric	5 unique values 0 missing
att239	numeric	5 unique values 0 missing
att240	numeric	5 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

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

240

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

ClassEntropy

3.32

Entropy of the target attribute values.

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Dimensionality

0.12

Number of attributes divided by the number of instances.

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile2KurtosisOfNumericAtts

-1.55

Second quartile (Median) of kurtosis among attributes of the numeric type.

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MeanSkewnessOfNumericAtts

-0.04

Mean skewness among attributes of the numeric type.

Quartile2MeansOfNumericAtts

4.1

Second quartile (Median) of means among attributes of the numeric type.

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

2.45

Mean standard deviation of attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

MajorityClassSize

200

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2SkewnessOfNumericAtts

-0.18

Second quartile (Median) of skewness among attributes of the numeric type.

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.92

Minimum kurtosis among attributes of the numeric type.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

2.62

Second quartile (Median) of standard deviation of attributes of the numeric type.

MaxKurtosisOfNumericAtts

18.12

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

1.18

Minimum of means among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

MaxMeansOfNumericAtts

6.28

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

-0.68

Third quartile of kurtosis among attributes of the numeric type.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfNumericFeatures

99.59

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

4.93

Third quartile of means among attributes of the numeric type.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-2.34

Minimum skewness among attributes of the numeric type.

PercentageOfSymbolicFeatures

0.41

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

MaxSkewnessOfNumericAtts

4.3

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.69

Minimum standard deviation of attributes of the numeric type.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

0.38

Third quartile of skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

2.89

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

Quartile1KurtosisOfNumericAtts

-1.77

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

2.73

Third quartile of standard deviation of attributes of the numeric type.

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

200

Number of instances belonging to the least frequent class.

Quartile1MeansOfNumericAtts

3.35

First quartile of means among attributes of the numeric type.

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

MeanKurtosisOfNumericAtts

-0.83

Mean kurtosis among attributes of the numeric type.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

MeanMeansOfNumericAtts

4.03

Mean of means among attributes of the numeric type.

Quartile1SkewnessOfNumericAtts

-0.69

First quartile of skewness among attributes of the numeric type.

AutoCorrelation

Average class difference between consecutive instances.

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

Quartile1StdDevOfNumericAtts

2.23

First quartile of standard deviation of attributes of the numeric type.

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 - 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: 33% Holdout set - 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