OpenML

Supervised Classification on AP_Breast_Lung

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

Supervised Classification on AP_Endometrium_Omentum

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

Supervised Classification on AP_Prostate_Ovary

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

Supervised Classification on AP_Endometrium_Kidney

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

Supervised Classification on AP_Colon_Uterus

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

Supervised Classification on AP_Endometrium_Uterus

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

Supervised Classification on wap.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 57

Supervised Classification on micro-mass

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 64

Supervised Data Stream Classification on anneal

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 4

Supervised Classification on thyroid-allhyper

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 61 - reach_of_reuse : 1

Supervised Classification on cloud

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : season - reuse : 61

Supervised Classification on ML2017-challenge-2

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : A1 - reuse : 59

Supervised Data Stream Classification on iris

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 14

Supervised Classification on mnist_784

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

Supervised Classification on ML2017-challenge-1

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : A37 - reuse : 59

Supervised Classification on OVA_Prostate

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Tissue - reuse : 4

Supervised Classification on USPS

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embargo_end_date : 2018-07-05 23:59:59 - uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : int0 - reuse : 57

Supervised Classification on dental

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uploader_id : 4030 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class

Supervised Classification on volcanoes-c1

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 54

Supervised Classification on Olivetti_Faces

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 53

Supervised Classification on UMIST_Faces_Cropped

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 53

Supervised Regression on bodyfat

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 25

Supervised Regression on analcatdata_negotiation

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : Future_business - reuse : 53 - reach_of_reuse : 1

Supervised Classification on energy-efficiency

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : y1 - reuse : 52

Supervised Classification on Engine1

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : confusion_matrix - target_feature : Pump_Status - reuse : 52

Supervised Classification on SVHN

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 52

Supervised Classification on spectrometer

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : LRS-class - reuse : 51

Supervised Data Stream Classification on BNG(Australian)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Y

Supervised Classification on energy-efficiency

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : y2 - reuse : 51

Supervised Data Stream Classification on BNG(sick,nominal,1000000)

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

Supervised Data Stream Classification on BNG(primary-tumor)

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

Supervised Classification on analcatdata_broadway

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Show_run - reuse : 49

Supervised Data Stream Classification on BNG(page-blocks,nominal,295245)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 3

Supervised Data Stream Classification on BNG(mfeat-karhunen,nominal,1000000)

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

Supervised Data Stream Classification on BNG(bridges_version2,nominal,1000000)

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

Supervised Data Stream Classification on BNG(glass)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Type

Supervised Classification on new3s.wc

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 44

Supervised Data Stream Classification on BNG(colic.ORIG,nominal,1000000)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : pathology_cp_data

Supervised Data Stream Classification on BNG(credit-a,nominal,1000000)

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

Supervised Data Stream Classification on BNG(bridges_version1,nominal,1000000)

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

Supervised Data Stream Classification on covertype

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 4

Supervised Data Stream Classification on BNG(anneal.ORIG)

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

Supervised Regression on cleveland

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : num - reuse : 37

Supervised Data Stream Classification on BNG(cmc,nominal,55296)

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

Supervised Data Stream Classification on BNG(colic,nominal,1000000)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : surgical_lesion

Supervised Data Stream Classification on BNG(credit-g,nominal,1000000)

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

Supervised Data Stream Classification on BNG(pendigits,nominal,1000000)

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

Supervised Data Stream Classification on BNG(dermatology,nominal,1000000)

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

Supervised Classification on anthracyclineTaxaneChemotherapy

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Decision - reuse : 12

Supervised Data Stream Classification on BNG(SPECTF)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : OVERALL_DIAGNOSIS

Supervised Data Stream Classification on BNG(autos)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : symboling

Supervised Data Stream Classification on BNG(colic)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : surgical_lesion

Supervised Classification on dresses-sales

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 47

Learning Curve on PhishingWebsites

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 16 - target_feature : Result

Learning Curve on splice

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 12 - target_feature : Class

Supervised Data Stream Classification on BNG(mfeat-zernike,nominal,1000000)

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

Supervised Data Stream Classification on BNG(cylinder-bands,nominal,1000000)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : band_type

Supervised Data Stream Classification on BNG(sonar,nominal,1000000)

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

Supervised Data Stream Classification on BNG(glass,nominal,137781)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Type

Supervised Data Stream Classification on BNG(heart-c,nominal,1000000)

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

Supervised Data Stream Classification on BNG(heart-h,nominal,1000000)

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

Supervised Data Stream Classification on BNG(heart-statlog,nominal,1000000)

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

Supervised Data Stream Classification on BNG(vehicle,nominal,1000000)

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

Supervised Data Stream Classification on BNG(hepatitis,nominal,1000000)

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

Supervised Data Stream Classification on BNG(vowel,nominal,1000000)

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

Supervised Data Stream Classification on BNG(zoo,nominal,1000000)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : type

Supervised Data Stream Classification on BNG(anneal.ORIG,nominal,1000000)

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

Supervised Data Stream Classification on BNG(mfeat-karhunen)

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

Supervised Data Stream Classification on BNG(mfeat-zernike)

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

Learning Curve on MagicTelescope

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 18 - target_feature : class:

Learning Curve on analcatdata_dmft

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : Prevention

Learning Curve on kc2

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 7 - target_feature : problems

Learning Curve on qsar-biodeg

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 9 - target_feature : Class

Learning Curve on steel-plates-fault

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 11 - target_feature : Class

Supervised Data Stream Classification on BNG(hypothyroid,nominal,1000000)

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

Supervised Data Stream Classification on BNG(lymph,nominal,1000000)

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

Supervised Data Stream Classification on BNG(solar-flare)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : X-class_flares_production_by_this_region

Supervised Data Stream Classification on BNG(solar-flare)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : X-class_flares_production_by_this_region

Supervised Data Stream Classification on BNG(spect_test)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : OVERALL_DIAGNOSIS

Supervised Classification on bridges

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE - reuse : 45

Supervised Data Stream Classification on BNG(cylinder-bands)

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : band_type

Supervised Data Stream Classification on BNG(solar-flare)

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

Learning Curve on musk

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 15 - target_feature : class

Learning Curve on scene

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 12 - target_feature : Urban

Learning Curve on irish

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 7 - target_feature : Leaving_Certificate

Learning Curve on adult

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 20 - target_feature : class

Learning Curve on autoUniv-au1-1000

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 9 - target_feature : Class

Learning Curve on wilt

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : Class

Learning Curve on phoneme

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 14 - target_feature : Class

Learning Curve on ilpd

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : Class

Learning Curve on ozone-level-8hr

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 12 - target_feature : Class

Learning Curve on climate-model-simulation-crashes

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 7 - target_feature : Class

Learning Curve on eeg-eye-state

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 17 - target_feature : Class

Learning Curve on banknote-authentication

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 10 - target_feature : Class

Learning Curve on blood-transfusion-service-center

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : Class

Learning Curve on cylinder-bands

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 7 - target_feature : band_type

Learning Curve on Australian

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : Y

Learning Curve on zoo

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 3 - target_feature : type - reuse : 30

Supervised Data Stream Classification on BNG(labor,nominal,1000000)

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

Supervised Classification on covertype

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 44

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