OpenML

Supervised Data Stream Classification on BNG(heart-statlog)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 63

Supervised Classification on primary-tumor

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298

Supervised Classification on mfeat-morphological

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298

Supervised Classification on lymph

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298

Supervised Classification on mfeat-zernike

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 294

Learning Curve on optdigits

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 14 - target_feature : class - reuse : 64

Supervised Classification on autos

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : symboling - reuse : 291

Supervised Data Stream Classification on BNG(mushroom)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 55

Supervised Data Stream Classification on BNG(vote)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 64

Supervised Data Stream Classification on adult

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 72

Supervised Data Stream Classification on BNG(kr-vs-kp)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 97

Supervised Classification on grub-damage

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : GG_new - reuse : 293

Learning Curve on cmc

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 10 - target_feature : Contraceptive_method_used - reuse : 54

Supervised Classification on balance-scale

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 294

Supervised Classification on abalone

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class_number_of_rings - reuse : 295

Supervised Classification on mfeat-factors

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 291

Supervised Classification on meta_batchincremental.arff

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 292

Supervised Classification on balance-scale

302 runs0 likes0 downloads0 reach293 impact
uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 293

Supervised Data Stream Classification on Hyperplane_10_1E-4

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 51

Supervised Classification on cmc

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 291

Supervised Classification on optdigits

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 293

Supervised Classification on anneal

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 290

Supervised Data Stream Classification on BNG(soybean)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 55

Learning Curve on solar-flare

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 9 - target_feature : X-class_flares_production_by_this_region - reuse : 78

Supervised Classification on postoperative-patient-data

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : decision - reuse : 289

Supervised Classification on cmc

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 289

Supervised Classification on anneal

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 289

Supervised Classification on anneal

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 288

Learning Curve on electricity

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 20 - target_feature : class - reuse : 126

Supervised Data Stream Classification on BNG(letter)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 49

Supervised Classification on oh0.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 154

Supervised Classification on autos

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : symboling - reuse : 284

Supervised Classification on wine

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 285

Supervised Classification on lymph

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 281

Supervised Classification on audiology

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 281

Supervised Data Stream Classification on Hyperplane_10_1E-3

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 54

Supervised Data Stream Classification on BNG(heart-c)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : num - reuse : 53

Supervised Data Stream Classification on BNG(solar-flare)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 56

Supervised Data Stream Classification on BNG(satimage)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 53

Learning Curve on page-blocks

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 14 - target_feature : class - reuse : 62

Supervised Data Stream Classification on RandomRBF_50_1E-3

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 47

Supervised Data Stream Classification on RandomRBF_50_1E-4

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 41

Supervised Data Stream Classification on BNG(lymph)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 50

Supervised Data Stream Classification on BNG(cmc)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Contraceptive_method_used - reuse : 48

Supervised Data Stream Classification on covertype

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 53

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 BNG(dermatology)

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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(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(vowel)

289 runs0 likes0 downloads0 reach49 impact
uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 49

Supervised Classification on oh10.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 151

Supervised Classification on fbis.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 152

Learning Curve on vowel

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 9 - target_feature : Class - reuse : 62

Supervised Classification on arrhythmia

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 276

Supervised Data Stream Classification on pokerhand

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 47

Supervised Data Stream Classification on BNG(JapaneseVowels)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : speaker - reuse : 56

Supervised Data Stream Classification on BNG(waveform-5000)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 40

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 RandomRBF_10_1E-3

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 48

Supervised Data Stream Classification on airlines

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Delay - reuse : 71

Supervised Data Stream Classification on BNG(bridges_version1)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : TYPE - reuse : 45

Supervised Classification on leukemia

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS - reuse : 220 - reach_of_reuse : 1

Supervised Classification on eye_movements

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 275

Supervised Data Stream Classification on BNG(mfeat-fourier)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 58

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 Classification on gina_prior2

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 277

Supervised Classification on sylva_prior

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 264

Supervised Data Stream Classification on BNG(vehicle)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 54

Supervised Classification on tr45.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 159

Supervised Classification on mfeat-pixel

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 272

Supervised Classification on hypothyroid

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 268

Supervised Classification on iris

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : matthews_correlation_coefficient - target_feature : class - reuse : 278 - reach_of_reuse : 1

Supervised Data Stream Classification on RandomRBF_0_0

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 44

Learning Curve on adult

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 20 - target_feature : class - reuse : 137

Supervised Data Stream Classification on BNG(pendigits)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 54

Supervised Classification on ipums_la_97-small

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : movedin - reuse : 260

Supervised Classification on breast-tissue

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 268

Supervised Classification on tumors_C

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS - reuse : 194

Supervised Classification on eating

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 126

Supervised Classification on letter

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uploader_id : 34625 - estimation_procedure : 5 times 2-fold Crossvalidation - target_feature : class

Supervised Classification on BNG(cmc,nominal,55296)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 248

Supervised Data Stream Classification on AirlinesCodrnaAdult

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Delay - reuse : 35

Learning Curve on monks-problems-2

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : class - reuse : 212

Supervised Classification on autoUniv-au4-2500

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 120

Supervised Classification on solar-flare

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : X-class_flares_production_by_this_region - reuse : 239

Supervised Classification on BNG(cmc)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 244

Supervised Classification on breast-tissue

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 248

Supervised Classification on rabe_148

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 236

Supervised Classification on hutsof99_logis

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 235

Supervised Classification on oh15.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 104

Supervised Classification on oh5.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 101

Supervised Classification on elusage

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 231

Supervised Classification on transplant

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 232

Supervised Classification on volcanoes-a1

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 242 - reach_of_reuse : 1

Supervised Classification on kidney

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 230

Supervised Classification on hip

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 229

Supervised Classification on BNG(tic-tac-toe)

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 226

Supervised Classification on lung-cancer

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : attribute57 - reuse : 227

Supervised Classification on BNG(tic-tac-toe)

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 228

Supervised Classification on rabe_266

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 230

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