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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
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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
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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
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uploader_id : 62 - estimation_procedure : Custom 10-fold Crossvalidation - target_feature : MEDIAN_PXC50
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uploader_id : 62 - estimation_procedure : Custom 10-fold Crossvalidation - target_feature : MEDIAN_PXC50
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uploader_id : 1 - cost_matrix : [[0,10],[100,0]] - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : click - reuse : 39609
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : def - reuse : 106
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 116
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 340
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 17 - target_feature : Class
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uploader_id : 1 - quality_measure : Information gain - target_feature : Class - target_value : 1
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : Class - target_value : 2
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Result - reuse : 22806 - reach_of_reuse : 1
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uploader_id : 1 - estimation_procedure : 50 times Clustering
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 122
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 120
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 148 - reach_of_reuse : 1
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uploader_id : 1
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : RETPLASMA - reuse : 15
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : events - reuse : 2
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 8 - target_feature : Class
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 288
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 197
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : Class - target_value : van
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estimation_procedure : Custom Holdout - evaluation_measures : predictive_accuracy - target_feature : class
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estimation_procedure : Custom Holdout - evaluation_measures : predictive_accuracy - target_feature : class
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Delay - reuse : 35
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estimation_procedure : 33% Holdout set - target_feature : result
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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
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 4 - target_feature : class
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : precision - target_feature : class - reuse : 31
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 73
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uploader_id : 1 - quality_measure : Information gain - target_feature : class - target_value : cyst-nematode
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : pathology_cp_data
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 320
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 102354
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 345
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 318
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE - reuse : 1
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 4
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : Survival - reuse : 2
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : MEDV - reuse : 5
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : algae_7 - reuse : 12
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : rank - reuse : 8
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : col_6 - reuse : 14 - reach_of_reuse : 1
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Survived
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uploader_id : 62 - estimation_procedure : Custom 10-fold Crossvalidation - target_feature : pXC50
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 170
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estimation_procedure : 5 times 2-fold Crossvalidation - target_feature : trans - reuse : 2
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estimation_procedure : 50 times Clustering - target_feature : *
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estimation_procedure : 10 times 10-fold Learning Curve - number_samples : 7 - target_feature : class
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 4176
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : surgical_lesion - reuse : 84
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 11294
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 135582
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 90696
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 6078
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estimation_procedure : 50 times Clustering
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Risk1Yr - reuse : 31
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : target - reuse : 17557
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : target - reuse : 8966
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 22645
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estimation_procedure : 50 times Clustering
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 289
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estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 1 - target_feature : class
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estimation_procedure : 10-fold Crossvalidation - target_feature : class
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estimation_procedure : 10-fold Crossvalidation - target_feature : total_(BRL)
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 494
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Tissue - reuse : 16
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uploader_id : 4030 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
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estimation_procedure : 50 times Clustering
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 26
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : pathology_cp_data - reuse : 117
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 12 - target_feature : class - reuse : 197
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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
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 5 - target_feature : symboling - reuse : 968
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Type - reuse : 27
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : num - reuse : 20
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 290
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 338
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 54
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 9 - target_feature : Class - reuse : 112
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 24
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 310
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 362
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : band_type
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : type
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 106542
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 7126
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 3204
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 7
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estimation_procedure : 50 times Clustering
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : ln(VOTES/POP) - reuse : 4
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estimation_procedure : 50 times Clustering
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estimation_procedure : Test on Training Data - evaluation_measures : predictive_accuracy - target_feature : pm2.5