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Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 119
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 12
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 12
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 12
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 12
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 142
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 142
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 142
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 142
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 161
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 161
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 161
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 161
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 187
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 187
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 187
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 187
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 189
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 189
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 189
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 189
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 202
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 202
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 202
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 202
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 221
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 221
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 221
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 221
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 240
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 240
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 240
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 240
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : CLASS_LABEL - target_value : 3
Subgroup Discovery on fbis.wc
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 3
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Binomial test - target_feature : CLASS_LABEL - target_value : 3
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Jaccard - target_feature : CLASS_LABEL - target_value : 3
Subgroup Discovery on fbis.wc
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uploader_id : 1 - quality_measure : Information gain - target_feature : CLASS_LABEL - target_value : 4
Supervised Classification on bridges
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE
Supervised Classification on BNG(sonar,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on BNG(soybean)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(spambase)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(heart-c,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : num
Supervised Classification on BNG(heart-h,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : num
Supervised Classification on BNG(trains)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(heart-statlog,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(vehicle,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on BNG(hepatitis,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on BNG(hypothyroid,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on BNG(vowel,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on BNG(ionosphere)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(waveform-5000,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(zoo,nominal,1000000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : type
Supervised Classification on Hyperplane_10_1E-3
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on Hyperplane_10_1E-4
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on LED(50000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on RandomRBF_0_0
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on RandomRBF_10_1E-3
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on RandomRBF_10_1E-4
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on RandomRBF_50_1E-3
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on RandomRBF_50_1E-4
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on SEA(50)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on SEA(50000)
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
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 colic
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : pathology_cp_data
Supervised Classification on cylinder-bands
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : band_type
Supervised Classification on splice
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on anneal
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uploader_id : 1 - estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on anneal
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uploader_id : 1 - estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on labor
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uploader_id : 1 - estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on arrhythmia
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uploader_id : 1 - estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on audiology
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uploader_id : 1 - estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on autos
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uploader_id : 1 - estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : symboling
Supervised Classification on molecular-biology_promoters
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : p7
Learning Curve on molecular-biology_promoters
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 3 - target_feature : p7
Supervised Classification on 20_newsgroups.drift
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Regression on autoHorse
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class
Supervised Classification on BNG(anneal)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(anneal.ORIG)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(labor)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(letter)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(autos)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : symboling
Supervised Classification on BNG(lymph)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(mfeat-fourier)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(mfeat-karhunen)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(bridges_version1)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : TYPE
Supervised Classification on BNG(mfeat-zernike)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(colic.ORIG)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : pathology_cp_data
Supervised Classification on BNG(colic)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : surgical_lesion
Supervised Classification on BNG(credit-a)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(credit-g)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(pendigits)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(cylinder-bands)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : band_type
Supervised Classification on BNG(dermatology)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(sonar)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on BNG(heart-c)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : num
Supervised Classification on BNG(heart-statlog)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Classification on BNG(vehicle)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class
Supervised Classification on BNG(hepatitis)
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class