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Heterogeneous Ensembles for Data Streams

Heterogeneous Ensembles for Data Streams

Created 21-02-2019 by Jason Visibility: public
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Supervised Data Stream Classification on BNG(anneal)
100 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on BNG(ionosphere)
99 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on BNG(segment)
99 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on 20_newsgroups.drift
124 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on BNG(optdigits)
100 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on BNG(spambase)
98 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on BNG(credit-g)
99 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on electricity
486 runs0 likes1 downloads1 reach13 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 13
Supervised Data Stream Classification on BNG(labor)
310 runs0 likes0 downloads0 reach59 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 59
Supervised Data Stream Classification on BNG(letter)
295 runs0 likes0 downloads0 reach49 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 49
Supervised Data Stream Classification on BNG(lymph)
291 runs0 likes0 downloads0 reach50 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 50
Supervised Data Stream Classification on BNG(mfeat-fourier)
286 runs0 likes0 downloads0 reach58 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 58
Supervised Data Stream Classification on BNG(bridges_version1)
287 runs0 likes0 downloads0 reach45 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : TYPE - reuse : 45
Supervised Data Stream Classification on BNG(cmc)
291 runs0 likes0 downloads0 reach48 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Contraceptive_method_used - reuse : 48
Supervised Data Stream Classification on BNG(credit-a)
306 runs0 likes0 downloads0 reach61 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 61
Supervised Data Stream Classification on BNG(page-blocks)
286 runs0 likes0 downloads0 reach48 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 48
Supervised Data Stream Classification on BNG(pendigits)
273 runs0 likes0 downloads0 reach54 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 54
Supervised Data Stream Classification on BNG(dermatology)
290 runs0 likes0 downloads0 reach52 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 52
Supervised Data Stream Classification on BNG(sonar)
290 runs0 likes0 downloads0 reach50 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 50
Supervised Data Stream Classification on BNG(heart-c)
292 runs0 likes0 downloads0 reach53 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : num - reuse : 53
Supervised Data Stream Classification on BNG(heart-statlog)
305 runs0 likes0 downloads0 reach63 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 63
Supervised Data Stream Classification on BNG(vehicle)
285 runs0 likes0 downloads0 reach54 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 54
Supervised Data Stream Classification on BNG(hepatitis)
309 runs0 likes0 downloads0 reach61 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 61
Supervised Data Stream Classification on BNG(vowel)
289 runs0 likes0 downloads0 reach49 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 49
Supervised Data Stream Classification on BNG(waveform-5000)
288 runs0 likes0 downloads0 reach40 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 40
Supervised Data Stream Classification on BNG(zoo)
290 runs0 likes0 downloads0 reach47 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : type - reuse : 47
Supervised Data Stream Classification on BNG(tic-tac-toe)
306 runs0 likes0 downloads0 reach77 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 77
Supervised Data Stream Classification on adult
304 runs0 likes0 downloads0 reach72 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 72
Supervised Data Stream Classification on BNG(kr-vs-kp)
303 runs0 likes0 downloads0 reach97 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 97
Supervised Data Stream Classification on BNG(mushroom)
304 runs0 likes0 downloads0 reach55 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 55
Supervised Data Stream Classification on BNG(soybean)
300 runs0 likes0 downloads0 reach55 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 55
Supervised Data Stream Classification on BNG(trains)
312 runs0 likes0 downloads0 reach68 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 68
Supervised Data Stream Classification on BNG(vote)
304 runs0 likes0 downloads0 reach64 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 64
Supervised Data Stream Classification on CovPokElec
331 runs0 likes0 downloads0 reach89 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 89
Supervised Data Stream Classification on covertype
290 runs0 likes0 downloads0 reach53 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 53
Supervised Data Stream Classification on Hyperplane_10_1E-3
292 runs0 likes1 downloads1 reach54 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 54
Supervised Data Stream Classification on Hyperplane_10_1E-4
301 runs0 likes0 downloads0 reach51 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 51
Supervised Data Stream Classification on LED(50000)
287 runs0 likes0 downloads0 reach51 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 51
Supervised Data Stream Classification on pokerhand
288 runs0 likes0 downloads0 reach47 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 47
Supervised Data Stream Classification on RandomRBF_0_0
279 runs0 likes0 downloads0 reach44 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 44
Supervised Data Stream Classification on RandomRBF_10_1E-3
287 runs0 likes0 downloads0 reach48 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 48
Supervised Data Stream Classification on RandomRBF_10_1E-4
290 runs0 likes0 downloads0 reach44 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 44
Supervised Data Stream Classification on RandomRBF_50_1E-3
291 runs0 likes0 downloads0 reach47 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 47
Supervised Data Stream Classification on RandomRBF_50_1E-4
291 runs0 likes0 downloads0 reach41 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 41
Supervised Data Stream Classification on SEA(50)
307 runs0 likes0 downloads0 reach65 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 65
Supervised Data Stream Classification on SEA(50000)
310 runs0 likes0 downloads0 reach61 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 61
Supervised Data Stream Classification on IMDB.drama
325 runs0 likes0 downloads0 reach77 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Drama - reuse : 77
Supervised Data Stream Classification on airlines
287 runs0 likes0 downloads0 reach71 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Delay - reuse : 71
Supervised Data Stream Classification on BNG(SPECT)
313 runs0 likes0 downloads0 reach74 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : OVERALL_DIAGNOSIS - reuse : 74
Supervised Data Stream Classification on BNG(JapaneseVowels)
288 runs0 likes0 downloads0 reach56 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : speaker - reuse : 56
Supervised Data Stream Classification on Agrawal1
311 runs0 likes0 downloads0 reach64 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 64
Supervised Data Stream Classification on Stagger1
307 runs0 likes0 downloads0 reach58 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 58
Supervised Data Stream Classification on Stagger2
306 runs0 likes0 downloads0 reach57 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 57
Supervised Data Stream Classification on Stagger3
305 runs0 likes0 downloads0 reach59 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 59
Supervised Data Stream Classification on codrnaNorm
309 runs0 likes0 downloads0 reach56 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : codrna_Y - reuse : 56
Supervised Data Stream Classification on vehicleNorm
306 runs0 likes0 downloads0 reach63 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Y - reuse : 63
Supervised Data Stream Classification on AirlinesCodrnaAdult
253 runs0 likes1 downloads1 reach35 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Delay - reuse : 35
Supervised Data Stream Classification on BNG(solar-flare)
292 runs0 likes0 downloads0 reach56 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 56
Supervised Data Stream Classification on BNG(satimage)
292 runs0 likes0 downloads0 reach53 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 53
Supervised Data Stream Classification on BNG(wine)
312 runs0 likes0 downloads0 reach56 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 56