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Learning Curve on Hyperplane_10_1E-3
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on Hyperplane_10_1E-4
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on LED(50000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on pokerhand
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on RandomRBF_0_0
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on RandomRBF_10_1E-3
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on RandomRBF_10_1E-4
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on RandomRBF_50_1E-3
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on RandomRBF_50_1E-4
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on SEA(50)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on SEA(50000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(anneal)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(anneal.ORIG)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(labor)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(letter)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(autos)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : symboling
Learning Curve on BNG(lymph)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(mfeat-fourier)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(anneal,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(anneal.ORIG,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(kr-vs-kp)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(labor,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(letter,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(autos,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : symboling
Learning Curve on BNG(lymph,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(breast-cancer,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : Class
Learning Curve on BNG(mfeat-fourier,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(mfeat-karhunen,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(bridges_version1,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : TYPE
Learning Curve on BNG(bridges_version2,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : TYPE
Learning Curve on BNG(mfeat-zernike,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(mushroom)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(colic.ORIG,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : pathology_cp_data
Learning Curve on BNG(colic,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : surgical_lesion
Learning Curve on BNG(optdigits)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(credit-a,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(page-blocks,nominal,295245)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 26 - target_feature : class
Learning Curve on BNG(credit-g,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(pendigits,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(cylinder-bands,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : band_type
Learning Curve on BNG(dermatology,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(segment)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Supervised Classification on 20_newsgroups.drift
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Data Stream Classification on spectf_test
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : F22S
Learning Curve on BNG(heart-c)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : num
Learning Curve on BNG(heart-statlog)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(vehicle)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : Class
Learning Curve on BNG(hepatitis)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : Class
Learning Curve on BNG(vowel)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : Class
Learning Curve on BNG(waveform-5000)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(zoo)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : type
Learning Curve on 20_newsgroups.drift
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 26 - target_feature : class
Learning Curve on meta_all.arff
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 2 - target_feature : class
Learning Curve on meta_stream_intervals.arff
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 20 - target_feature : class
Learning Curve on BNG(mfeat-karhunen)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(bridges_version1)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : TYPE
Learning Curve on BNG(mfeat-zernike)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(colic.ORIG)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : pathology_cp_data
Learning Curve on BNG(colic)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : surgical_lesion
Learning Curve on BNG(credit-a)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(page-blocks)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 26 - target_feature : class
Learning Curve on BNG(credit-g)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(pendigits)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(cylinder-bands)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : band_type
Learning Curve on BNG(dermatology)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : class
Learning Curve on BNG(sonar)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 29 - target_feature : Class
Learning Curve on BNG(glass)
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 23 - target_feature : Type
Supervised Data Stream Classification on spectf_train
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : F22S
Supervised Data Stream Classification on meta_all.arff
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on meta_batchincremental.arff
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on meta_ensembles.arff
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Data Stream Classification on meta_instanceincremental.arff
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
Supervised Classification on Cereals
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : mfr
Supervised Classification on mammography
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on oil_spill
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on scene
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Urban
Supervised Classification on spectrometer
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : LRS-class
Supervised Classification on thyroid_sick
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on yeast_ml8
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class14
Supervised Classification on bridges
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE
Supervised Classification on bridges
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE
Supervised Classification on hayes-roth
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on KDDCup99
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on musk
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on chess
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : optimal_depth-of-win_for_White
Supervised Classification on adult-census
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on MagicTelescope
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class:
Supervised Regression on baseball-hitter
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : 1987_annual_salary_on_opening_day_in_thousands_of_dollars
Supervised Regression on pollen
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : DENSITY
Supervised Regression on houses
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : median_house_value
Supervised Regression on colleges_usnews
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : Graduation_rate
Supervised Regression on analcatdata_galapagos
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : Observed.species
Supervised Regression on mu284
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : CL
Supervised Regression on pollution
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : MORT
Supervised Regression on transplant
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : obs
Supervised Regression on lmpavw
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : vertical_ocean_shear
Supervised Regression on strikes
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : strike_volume
Supervised Regression on quake
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : col_4
Supervised Regression on detroit
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : HOM
Supervised Regression on bank32nh
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : rej