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Supervised Classification on abalone
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : run_cpu_time - target_feature : Class_number_of_rings - reuse : 32
Supervised Classification on SpeedDating
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uploader_id : 1 - cost_matrix : [[0,1],[2,0]] - estimation_procedure : 10-fold Crossvalidation - target_feature : match - reuse : 1071 - reach_of_reuse : 7
Clustering on BNG(mfeat-fourier,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on BNG(mfeat-karhunen,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on BNG(bridges_version1,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on BNG(mfeat-zernike,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on BNG(optdigits)
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on BNG(segment)
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on tr31.wc
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on anneal
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on kr-vs-kp
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on TwitterHashtags
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on Plants
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on Medical
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Supervised Classification on Test_vectors_1500_repaired
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estimation_procedure : 5 times 2-fold Crossvalidation - target_feature : trans - reuse : 5
Clustering on credit-g
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estimation_procedure : 50 times Clustering - target_feature : *
Learning Curve on arrhythmia
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estimation_procedure : 10 times 10-fold Learning Curve - number_samples : 7 - target_feature : class
Clustering on Codes
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estimation_procedure : 50 times Clustering
Clustering on lotto
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estimation_procedure : 50 times Clustering
Clustering on diabetes
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estimation_procedure : 50 times Clustering
Supervised Classification on iris
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : precision - target_feature : class
Supervised Classification on climate-model-simulation-crashes
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 60811
Supervised Classification on ozone-level-8hr
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 90654
Supervised Classification on phoneme
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 102354
Supervised Classification on GesturePhaseSegmentationRAW
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : phase - reuse : 34
Supervised Classification on thoracic_surgery
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Risk1Yr - reuse : 31
Supervised Classification on thyroid-allbp
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : Class - reuse : 64
Supervised Classification on spectrometer
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : LRS-class - reuse : 1191 - reach_of_reuse : 2
Supervised Classification on Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : Activity_Label - reuse : 2
Supervised Classification on creditcard
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uploader_id : 1 - cost_matrix : [[0,1],[500,0]] - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : total_cost - target_feature : Class - reuse : 350
Clustering on image
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on RAM_price
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on Titanic
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uploader_id : 1 - estimation_procedure : 50 times Clustering
Clustering on BNG(breast-cancer,nominal,1000000)
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uploader_id : 1
Supervised Classification on banknote-authentication
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uploader_id : 1 - estimation_procedure : 10% Holdout set - evaluation_measures : area_under_roc_curve - target_feature : Class
Supervised Classification on ex1-features-holiday-person-es-201610
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : label - reuse : 4
Supervised Classification on dna
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 4926
Clustering on enron
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uploader_id : 1 - target_feature : unknown
Supervised Regression on boston
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : mean_absolute_error - target_feature : MEDV
Supervised Classification on musk
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : precision - target_feature : class - reuse : 13306
Supervised Classification on breast
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : precision - target_feature : class - reuse : 31
Clustering on balance-scale
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uploader_id : 1
Supervised Classification on qType_30prev
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Clustering on cdr
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uploader_id : 1
Clustering on hcc-dataset
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uploader_id : 1
Clustering on epilobee_mortality
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uploader_id : 1
Clustering on credit-g
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target_feature : clusters
Clustering on Fitnessapp
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Supervised Classification on jm1
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : defects
Supervised Regression on NewFuelCar
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Tmax
Clustering on reuters
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uploader_id : 1 - target_feature : k
Supervised Classification on credit-g
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : 1 - target_feature : class - reuse : 32
Supervised Classification on Gisette-train
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Supervised Regression on delays_zurich_transport
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : root_mean_squared_error - target_feature : delay
Supervised Classification on ML2017-challenge-2
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : A1 - reuse : 59
Supervised Classification on ML2017-challenge-3
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 22
Clustering on segment
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uploader_id : 1 - target_feature : class - reuse : 1
Supervised Classification on mnist_784
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Clustering on letter
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uploader_id : 1 - target_feature : class
Clustering on micro-mass
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uploader_id : 1
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 trial
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : Class
Clustering on flight-delay-usa-dec-2017
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estimation_procedure : 50 times Clustering
Supervised Classification on FOREX_eurusd-hour-Close
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estimation_procedure : 10-fold Crossvalidation - target_feature : Class
Supervised Classification on dental
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uploader_id : 4030 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Clustering on CreditCardFraudDetection
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estimation_procedure : 50 times Clustering
Supervised Classification on mnist_784
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estimation_procedure : Custom Holdout - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on mnist_784
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estimation_procedure : Custom Holdout - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Regression on datapm2.5
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estimation_procedure : Test on Training Data - evaluation_measures : predictive_accuracy - target_feature : pm2.5
Clustering on CIFAR-100
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estimation_procedure : 50 times Clustering
Clustering on colleges
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estimation_procedure : 50 times Clustering
Supervised Regression on IMDB.drama
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estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on Betegy
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estimation_procedure : 33% Holdout set - target_feature : result
Supervised Classification on test4
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estimation_procedure : 10-fold Crossvalidation - target_feature : class
Learning Curve on NEERI
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estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 1 - target_feature : class
Supervised Regression on Brazilian_houses
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estimation_procedure : 10-fold Crossvalidation - target_feature : total_(BRL)
Clustering on NaijaCOVID-19
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estimation_procedure : 50 times Clustering - target_feature : Lab-Confirmed
Subgroup Discovery on synthetic_control
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uploader_id : 1 - quality_measure : Jaccard - target_feature : class - target_value : Increasing_trend
Supervised Classification on sa-heart
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 124
Clustering on freMTPL2sev
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estimation_procedure : 50 times Clustering
Learning Curve on liver-disorders
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : selector
Learning Curve on breast-w
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 8 - target_feature : Class - reuse : 102
Supervised Classification on zoo
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : type
Supervised Classification on iris
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uploader_id : 1 - estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 3 - reach_of_reuse : 1
Supervised Regression on pbc
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
Supervised Regression on lowbwt
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 4
Supervised Regression on echoMonths
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
Supervised Regression on pharynx
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
Supervised Regression on autoMpg
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(colic.ORIG,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : pathology_cp_data - reuse : 22
Supervised Classification on liver-disorders
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : selector - reuse : 83
Learning Curve on abalone
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 13 - target_feature : Class_number_of_rings - reuse : 100
Supervised Data Stream Classification on segment
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 12
Supervised Regression on fishcatch
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
Supervised Regression on hungarian
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : num - reuse : 10
Supervised Classification on steel-plates-fault
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : target - reuse : 9010
Supervised Classification on mfeat-pixel
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 11305
Supervised Classification on car
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 7127
Supervised Classification on trains
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 672
Supervised Classification on mammography
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 177