Data
USPS

USPS

active ARFF Publicly available Visibility: public Uploaded 24-06-2019 by Julia Moosbauer
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Binarized version of the USPS dataset (see version 2). Only instances with class labels 6 and 9 from the original dataset are considered and encoded as 0 (original class 6) and 1 (original class 9).

257 features

int0 (target)nominal2 unique values
0 missing
double256numeric435 unique values
0 missing
double1numeric396 unique values
0 missing
double2numeric718 unique values
0 missing
double3numeric1027 unique values
0 missing
double4numeric1246 unique values
0 missing
double5numeric1371 unique values
0 missing
double6numeric1409 unique values
0 missing
double7numeric1417 unique values
0 missing
double8numeric1422 unique values
0 missing
double9numeric1423 unique values
0 missing
double10numeric1421 unique values
0 missing
double11numeric1422 unique values
0 missing
double12numeric1410 unique values
0 missing
double13numeric1385 unique values
0 missing
double14numeric1285 unique values
0 missing
double15numeric1037 unique values
0 missing
double16numeric698 unique values
0 missing
double17numeric563 unique values
0 missing
double18numeric922 unique values
0 missing
double19numeric1193 unique values
0 missing
double20numeric1354 unique values
0 missing
double21numeric1412 unique values
0 missing
double22numeric1423 unique values
0 missing
double23numeric1423 unique values
0 missing
double24numeric1423 unique values
0 missing
double25numeric1424 unique values
0 missing
double26numeric1421 unique values
0 missing
double27numeric1422 unique values
0 missing
double28numeric1418 unique values
0 missing
double29numeric1412 unique values
0 missing
double30numeric1370 unique values
0 missing
double31numeric1170 unique values
0 missing
double32numeric812 unique values
0 missing
double33numeric691 unique values
0 missing
double34numeric1043 unique values
0 missing
double35numeric1285 unique values
0 missing
double36numeric1390 unique values
0 missing
double37numeric1417 unique values
0 missing
double38numeric1424 unique values
0 missing
double39numeric1424 unique values
0 missing
double40numeric1424 unique values
0 missing
double41numeric1424 unique values
0 missing
double42numeric1424 unique values
0 missing
double43numeric1424 unique values
0 missing
double44numeric1423 unique values
0 missing
double45numeric1420 unique values
0 missing
double46numeric1396 unique values
0 missing
double47numeric1246 unique values
0 missing
double48numeric878 unique values
0 missing
double49numeric774 unique values
0 missing
double50numeric1117 unique values
0 missing
double51numeric1345 unique values
0 missing
double52numeric1406 unique values
0 missing
double53numeric1422 unique values
0 missing
double54numeric1424 unique values
0 missing
double55numeric1424 unique values
0 missing
double56numeric1423 unique values
0 missing
double57numeric1424 unique values
0 missing
double58numeric1424 unique values
0 missing
double59numeric1423 unique values
0 missing
double60numeric1424 unique values
0 missing
double61numeric1420 unique values
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double62numeric1392 unique values
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double63numeric1238 unique values
0 missing
double64numeric864 unique values
0 missing
double65numeric807 unique values
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double66numeric1136 unique values
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double67numeric1352 unique values
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double68numeric1417 unique values
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double69numeric1423 unique values
0 missing
double70numeric1424 unique values
0 missing
double71numeric1423 unique values
0 missing
double72numeric1424 unique values
0 missing
double73numeric1423 unique values
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double74numeric1423 unique values
0 missing
double75numeric1422 unique values
0 missing
double76numeric1422 unique values
0 missing
double77numeric1415 unique values
0 missing
double78numeric1354 unique values
0 missing
double79numeric1121 unique values
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double80numeric757 unique values
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double81numeric786 unique values
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double82numeric1143 unique values
0 missing
double83numeric1362 unique values
0 missing
double84numeric1413 unique values
0 missing
double85numeric1422 unique values
0 missing
double86numeric1423 unique values
0 missing
double87numeric1423 unique values
0 missing
double88numeric1423 unique values
0 missing
double89numeric1423 unique values
0 missing
double90numeric1420 unique values
0 missing
double91numeric1419 unique values
0 missing
double92numeric1411 unique values
0 missing
double93numeric1375 unique values
0 missing
double94numeric1260 unique values
0 missing
double95numeric986 unique values
0 missing
double96numeric642 unique values
0 missing
double97numeric740 unique values
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double98numeric1087 unique values
0 missing
double99numeric1340 unique values
0 missing
double100numeric1414 unique values
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double101numeric1424 unique values
0 missing
double102numeric1424 unique values
0 missing
double103numeric1423 unique values
0 missing
double104numeric1422 unique values
0 missing
double105numeric1422 unique values
0 missing
double106numeric1423 unique values
0 missing
double107numeric1419 unique values
0 missing
double108numeric1408 unique values
0 missing
double109numeric1362 unique values
0 missing
double110numeric1214 unique values
0 missing
double111numeric910 unique values
0 missing
double112numeric594 unique values
0 missing
double113numeric695 unique values
0 missing
double114numeric1024 unique values
0 missing
double115numeric1305 unique values
0 missing
double116numeric1401 unique values
0 missing
double117numeric1421 unique values
0 missing
double118numeric1421 unique values
0 missing
double119numeric1423 unique values
0 missing
double120numeric1424 unique values
0 missing
double121numeric1424 unique values
0 missing
double122numeric1423 unique values
0 missing
double123numeric1423 unique values
0 missing
double124numeric1419 unique values
0 missing
double125numeric1375 unique values
0 missing
double126numeric1186 unique values
0 missing
double127numeric882 unique values
0 missing
double128numeric585 unique values
0 missing
double129numeric678 unique values
0 missing
double130numeric957 unique values
0 missing
double131numeric1241 unique values
0 missing
double132numeric1394 unique values
0 missing
double133numeric1422 unique values
0 missing
double134numeric1423 unique values
0 missing
double135numeric1423 unique values
0 missing
double136numeric1421 unique values
0 missing
double137numeric1423 unique values
0 missing
double138numeric1424 unique values
0 missing
double139numeric1423 unique values
0 missing
double140numeric1419 unique values
0 missing
double141numeric1383 unique values
0 missing
double142numeric1165 unique values
0 missing
double143numeric871 unique values
0 missing
double144numeric603 unique values
0 missing
double145numeric705 unique values
0 missing
double146numeric978 unique values
0 missing
double147numeric1248 unique values
0 missing
double148numeric1388 unique values
0 missing
double149numeric1414 unique values
0 missing
double150numeric1412 unique values
0 missing
double151numeric1413 unique values
0 missing
double152numeric1419 unique values
0 missing
double153numeric1418 unique values
0 missing
double154numeric1423 unique values
0 missing
double155numeric1424 unique values
0 missing
double156numeric1421 unique values
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double157numeric1373 unique values
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double158numeric1178 unique values
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double159numeric888 unique values
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double160numeric640 unique values
0 missing
double161numeric756 unique values
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double162numeric1042 unique values
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double163numeric1304 unique values
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double164numeric1396 unique values
0 missing
double165numeric1413 unique values
0 missing
double166numeric1412 unique values
0 missing
double167numeric1417 unique values
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double168numeric1407 unique values
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double169numeric1418 unique values
0 missing
double170numeric1423 unique values
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double171numeric1423 unique values
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double172numeric1423 unique values
0 missing
double173numeric1386 unique values
0 missing
double174numeric1223 unique values
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double175numeric935 unique values
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double176numeric688 unique values
0 missing
double177numeric803 unique values
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double178numeric1127 unique values
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double179numeric1346 unique values
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double180numeric1416 unique values
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double181numeric1424 unique values
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double182numeric1421 unique values
0 missing
double183numeric1422 unique values
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double184numeric1422 unique values
0 missing
double185numeric1424 unique values
0 missing
double186numeric1422 unique values
0 missing
double187numeric1422 unique values
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double188numeric1423 unique values
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double189numeric1400 unique values
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double190numeric1277 unique values
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double191numeric997 unique values
0 missing
double192numeric710 unique values
0 missing
double193numeric826 unique values
0 missing
double194numeric1139 unique values
0 missing
double195numeric1370 unique values
0 missing
double196numeric1420 unique values
0 missing
double197numeric1424 unique values
0 missing
double198numeric1423 unique values
0 missing
double199numeric1424 unique values
0 missing
double200numeric1423 unique values
0 missing
double201numeric1423 unique values
0 missing
double202numeric1424 unique values
0 missing
double203numeric1423 unique values
0 missing
double204numeric1422 unique values
0 missing
double205numeric1406 unique values
0 missing
double206numeric1289 unique values
0 missing
double207numeric1021 unique values
0 missing
double208numeric715 unique values
0 missing
double209numeric797 unique values
0 missing
double210numeric1124 unique values
0 missing
double211numeric1364 unique values
0 missing
double212numeric1419 unique values
0 missing
double213numeric1424 unique values
0 missing
double214numeric1424 unique values
0 missing
double215numeric1424 unique values
0 missing
double216numeric1424 unique values
0 missing
double217numeric1423 unique values
0 missing
double218numeric1423 unique values
0 missing
double219numeric1423 unique values
0 missing
double220numeric1422 unique values
0 missing
double221numeric1405 unique values
0 missing
double222numeric1283 unique values
0 missing
double223numeric1006 unique values
0 missing
double224numeric682 unique values
0 missing
double225numeric668 unique values
0 missing
double226numeric1032 unique values
0 missing
double227numeric1325 unique values
0 missing
double228numeric1416 unique values
0 missing
double229numeric1422 unique values
0 missing
double230numeric1422 unique values
0 missing
double231numeric1424 unique values
0 missing
double232numeric1423 unique values
0 missing
double233numeric1423 unique values
0 missing
double234numeric1423 unique values
0 missing
double235numeric1423 unique values
0 missing
double236numeric1421 unique values
0 missing
double237numeric1398 unique values
0 missing
double238numeric1240 unique values
0 missing
double239numeric924 unique values
0 missing
double240numeric582 unique values
0 missing
double241numeric481 unique values
0 missing
double242numeric813 unique values
0 missing
double243numeric1196 unique values
0 missing
double244numeric1396 unique values
0 missing
double245numeric1417 unique values
0 missing
double246numeric1421 unique values
0 missing
double247numeric1422 unique values
0 missing
double248numeric1423 unique values
0 missing
double249numeric1423 unique values
0 missing
double250numeric1424 unique values
0 missing
double251numeric1424 unique values
0 missing
double252numeric1417 unique values
0 missing
double253numeric1363 unique values
0 missing
double254numeric1119 unique values
0 missing
double255numeric734 unique values
0 missing

62 properties

1424
Number of instances (rows) of the dataset.
257
Number of attributes (columns) of the dataset.
2
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.
256
Number of numeric attributes.
1
Number of nominal attributes.
1
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.
0.18
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
-0.43
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.
1.41
Mean skewness among attributes of the numeric type.
-0.42
Second quartile (Median) of means among attributes of the numeric type.
50.28
Percentage of instances belonging to the most frequent class.
0.44
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
716
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.68
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.51
Minimum kurtosis among attributes of the numeric type.
0.39
Percentage of binary attributes.
0.5
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
142.91
Maximum kurtosis among attributes of the numeric type.
-1
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
4.58
Third quartile of kurtosis among attributes of the numeric type.
0.43
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.
-0.15
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
99.61
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
-1.37
Minimum skewness among attributes of the numeric type.
0.39
Percentage of nominal attributes.
2.28
Third quartile of skewness among attributes of the numeric type.
10.63
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.56
Third quartile of standard deviation of attributes of the numeric type.
0.67
Maximum standard deviation of attributes of the numeric type.
49.72
Percentage of instances belonging to the least frequent class.
-1.12
First quartile of kurtosis among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
708
Number of instances belonging to the least frequent class.
-0.81
First quartile of means among attributes of the numeric type.
6.1
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
-0.44
Mean of means among attributes of the numeric type.
0.05
First quartile of skewness among attributes of the numeric type.
0.56
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.35
First quartile of standard deviation of attributes of the numeric type.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: int0
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