OpenML
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
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double1numeric396 unique values
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double2numeric718 unique values
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double3numeric1027 unique values
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double4numeric1246 unique values
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double5numeric1371 unique values
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double6numeric1409 unique values
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double7numeric1417 unique values
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double8numeric1422 unique values
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double9numeric1423 unique values
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double10numeric1421 unique values
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double11numeric1422 unique values
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double12numeric1410 unique values
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double13numeric1385 unique values
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double14numeric1285 unique values
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double15numeric1037 unique values
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double16numeric698 unique values
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double17numeric563 unique values
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double18numeric922 unique values
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double19numeric1193 unique values
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double20numeric1354 unique values
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double21numeric1412 unique values
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double22numeric1423 unique values
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double23numeric1423 unique values
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double24numeric1423 unique values
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double25numeric1424 unique values
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double26numeric1421 unique values
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double27numeric1422 unique values
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double28numeric1418 unique values
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double29numeric1412 unique values
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double30numeric1370 unique values
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double31numeric1170 unique values
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double32numeric812 unique values
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double33numeric691 unique values
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double34numeric1043 unique values
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double35numeric1285 unique values
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double36numeric1390 unique values
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double37numeric1417 unique values
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double38numeric1424 unique values
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double39numeric1424 unique values
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double40numeric1424 unique values
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double41numeric1424 unique values
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double42numeric1424 unique values
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double43numeric1424 unique values
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double44numeric1423 unique values
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double45numeric1420 unique values
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double46numeric1396 unique values
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double47numeric1246 unique values
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double48numeric878 unique values
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double49numeric774 unique values
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double50numeric1117 unique values
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double51numeric1345 unique values
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double52numeric1406 unique values
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double53numeric1422 unique values
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double54numeric1424 unique values
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double55numeric1424 unique values
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double56numeric1423 unique values
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double57numeric1424 unique values
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double58numeric1424 unique values
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double59numeric1423 unique values
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double60numeric1424 unique values
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double61numeric1420 unique values
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double62numeric1392 unique values
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double63numeric1238 unique values
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double64numeric864 unique values
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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
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double70numeric1424 unique values
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double71numeric1423 unique values
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double72numeric1424 unique values
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double73numeric1423 unique values
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double74numeric1423 unique values
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double75numeric1422 unique values
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double76numeric1422 unique values
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double77numeric1415 unique values
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double78numeric1354 unique values
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double79numeric1121 unique values
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double80numeric757 unique values
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double81numeric786 unique values
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double82numeric1143 unique values
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double83numeric1362 unique values
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double84numeric1413 unique values
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double85numeric1422 unique values
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double86numeric1423 unique values
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double87numeric1423 unique values
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double88numeric1423 unique values
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double89numeric1423 unique values
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double90numeric1420 unique values
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double91numeric1419 unique values
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double92numeric1411 unique values
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double93numeric1375 unique values
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double94numeric1260 unique values
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double95numeric986 unique values
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double96numeric642 unique values
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double97numeric740 unique values
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double98numeric1087 unique values
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double99numeric1340 unique values
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double100numeric1414 unique values
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double101numeric1424 unique values
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double102numeric1424 unique values
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double103numeric1423 unique values
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double104numeric1422 unique values
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double105numeric1422 unique values
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double106numeric1423 unique values
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double107numeric1419 unique values
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double108numeric1408 unique values
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double109numeric1362 unique values
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double110numeric1214 unique values
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double111numeric910 unique values
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double112numeric594 unique values
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double113numeric695 unique values
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double114numeric1024 unique values
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double115numeric1305 unique values
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double116numeric1401 unique values
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double117numeric1421 unique values
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double118numeric1421 unique values
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double119numeric1423 unique values
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double120numeric1424 unique values
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double121numeric1424 unique values
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double122numeric1423 unique values
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double123numeric1423 unique values
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double124numeric1419 unique values
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double125numeric1375 unique values
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double126numeric1186 unique values
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double127numeric882 unique values
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double128numeric585 unique values
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double129numeric678 unique values
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double130numeric957 unique values
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double131numeric1241 unique values
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double132numeric1394 unique values
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double133numeric1422 unique values
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double134numeric1423 unique values
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double135numeric1423 unique values
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double136numeric1421 unique values
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double137numeric1423 unique values
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double138numeric1424 unique values
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double139numeric1423 unique values
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double140numeric1419 unique values
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double141numeric1383 unique values
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double142numeric1165 unique values
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double143numeric871 unique values
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double144numeric603 unique values
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double145numeric705 unique values
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double146numeric978 unique values
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double147numeric1248 unique values
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double148numeric1388 unique values
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double149numeric1414 unique values
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double150numeric1412 unique values
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double151numeric1413 unique values
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double152numeric1419 unique values
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double153numeric1418 unique values
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double154numeric1423 unique values
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double155numeric1424 unique values
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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
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double161numeric756 unique values
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double162numeric1042 unique values
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double163numeric1304 unique values
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double164numeric1396 unique values
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double165numeric1413 unique values
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double166numeric1412 unique values
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double167numeric1417 unique values
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double168numeric1407 unique values
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double169numeric1418 unique values
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double170numeric1423 unique values
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double171numeric1423 unique values
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double172numeric1423 unique values
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double173numeric1386 unique values
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double174numeric1223 unique values
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double175numeric935 unique values
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double176numeric688 unique values
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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
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double183numeric1422 unique values
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double184numeric1422 unique values
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double185numeric1424 unique values
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double186numeric1422 unique values
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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
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double192numeric710 unique values
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double193numeric826 unique values
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double194numeric1139 unique values
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double195numeric1370 unique values
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double196numeric1420 unique values
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double197numeric1424 unique values
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double198numeric1423 unique values
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double199numeric1424 unique values
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double200numeric1423 unique values
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double201numeric1423 unique values
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double202numeric1424 unique values
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double203numeric1423 unique values
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double204numeric1422 unique values
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double205numeric1406 unique values
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double206numeric1289 unique values
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double207numeric1021 unique values
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double208numeric715 unique values
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double209numeric797 unique values
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double210numeric1124 unique values
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double211numeric1364 unique values
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double212numeric1419 unique values
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double213numeric1424 unique values
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double214numeric1424 unique values
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double215numeric1424 unique values
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double216numeric1424 unique values
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double217numeric1423 unique values
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double218numeric1423 unique values
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double219numeric1423 unique values
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double220numeric1422 unique values
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double221numeric1405 unique values
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double222numeric1283 unique values
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double223numeric1006 unique values
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double224numeric682 unique values
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double225numeric668 unique values
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double226numeric1032 unique values
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double227numeric1325 unique values
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double228numeric1416 unique values
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double229numeric1422 unique values
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double230numeric1422 unique values
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double231numeric1424 unique values
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double232numeric1423 unique values
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double233numeric1423 unique values
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double234numeric1423 unique values
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double235numeric1423 unique values
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double236numeric1421 unique values
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double237numeric1398 unique values
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double238numeric1240 unique values
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double239numeric924 unique values
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double240numeric582 unique values
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double241numeric481 unique values
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double242numeric813 unique values
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double243numeric1196 unique values
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double244numeric1396 unique values
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double245numeric1417 unique values
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double246numeric1421 unique values
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double247numeric1422 unique values
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double248numeric1423 unique values
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double249numeric1423 unique values
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double250numeric1424 unique values
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double251numeric1424 unique values
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double252numeric1417 unique values
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double253numeric1363 unique values
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double254numeric1119 unique values
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double255numeric734 unique values
0 missing
Show first 100 features

62 properties

NumberOfInstances
1424
Number of instances (rows) of the dataset.
NumberOfFeatures
257
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
256
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
ClassEntropy
1
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
0.18
Number of attributes divided by the number of instances.
MeanNominalAttDistinctValues
2
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
-0.43
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
1.41
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
-0.42
Second quartile (Median) of means among attributes of the numeric type.
MajorityClassPercentage
50.28
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
0.44
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
716
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
0.68
Second quartile (Median) of skewness among attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.51
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0.39
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.5
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
142.91
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-1
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxMeansOfNumericAtts
0.43
Maximum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
4.58
Third quartile of kurtosis among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
99.61
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
-0.15
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
2
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.37
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
0.39
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
10.63
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.03
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
2.28
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.67
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
49.72
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
-1.12
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.56
Third quartile of standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
708
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
-0.81
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.
MeanKurtosisOfNumericAtts
6.1
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
1
Number of binary attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
MeanMeansOfNumericAtts
-0.44
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
0.05
First quartile of skewness among attributes of the numeric type.
AutoCorrelation
0.56
Average class difference between consecutive instances.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.35
First quartile of standard deviation of attributes of the numeric type.
Show all 62 properties

9 tasks

Supervised Classification on USPS
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: int0
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
Clustering on USPS
0 runs - estimation_procedure: 50 times Clustering
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