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408331 runs1 likes32 downloads33 reach401815 impact
uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 401812 - reach_of_reuse : 7
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 3170 - reach_of_reuse : 4
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embargo_end_date : 2018-04-22 23:59:59 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : Target - reuse : 2074 - reach_of_reuse : 6
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : match - reuse : 2538 - reach_of_reuse : 11
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embargo_end_date : 2018-04-22 23:59:59 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : class - reuse : 466 - reach_of_reuse : 4
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : Target - reuse : 1599 - reach_of_reuse : 7
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estimation_procedure : 10-fold Crossvalidation - target_feature : Class - reuse : 376100
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 933 - reach_of_reuse : 2
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : target - reuse : 9359 - reach_of_reuse : 2
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 105
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cost_matrix : [[0,1],[50,0]] - estimation_procedure : 10-fold Crossvalidation - target_feature : match - reuse : 1170 - reach_of_reuse : 6
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embargo_end_date : 2018-04-10 00:00:00 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : class - reuse : 380 - reach_of_reuse : 4
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : Future_business - reuse : 44
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 150508
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 121537 - reach_of_reuse : 1
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : chol - reuse : 20
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Activity
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Annotation - reuse : 5
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class_number_of_rings - reuse : 3871
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 1432 - reach_of_reuse : 1
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : A37 - reuse : 181
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 14836 - reach_of_reuse : 1
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estimation_procedure : 10-fold Crossvalidation - target_feature : state - reuse : 103104
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 895
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 57159 - reach_of_reuse : 1
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : root_mean_squared_error - target_feature : drinks - reuse : 38
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : usr - reuse : 12
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 105932
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 8680
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estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 12229
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estimation_procedure : 10-fold Crossvalidation - target_feature : Y - reuse : 203232
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : match - reuse : 2907
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estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 12 - target_feature : class - reuse : 215
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 300
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 346
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 46
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : band_type
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : user - reuse : 4
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 198
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 204
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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 times 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : usr
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : MEDV
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : usr
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : resolution
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : def - reuse : 106
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 116
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 73
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uploader_id : 62 - estimation_procedure : Custom 10-fold Crossvalidation - target_feature : MEDIAN_PXC50
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estimation_procedure : Interleaved Test then Train - target_feature : attribute57 - reuse : 25
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 25
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : y - reuse : 19
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : num - reuse : 36
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : num - reuse : 10
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 10
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : mfr
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : algae_7 - reuse : 12
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : AIDS_know - reuse : 18
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : events - reuse : 2
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : status - reuse : 18
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : col_8 - reuse : 22
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : oz1143
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estimation_procedure : Interleaved Test then Train - target_feature : binaryClass
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class
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estimation_procedure : 10% Holdout set - target_feature : class
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estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 2 - target_feature : decision - reuse : 77
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estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : type
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estimation_procedure : Leave one out - evaluation_measures : predictive_accuracy - target_feature : class
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estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 367
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : VISIBILITY - reuse : 350 - reach_of_reuse : 1
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 221
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class_protein_localization - reuse : 321
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Tissue - reuse : 189
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estimation_procedure : Interleaved Test then Train - target_feature : Y - reuse : 41
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uploader_id : 62 - estimation_procedure : Custom 10-fold Crossvalidation - target_feature : MEDIAN_PXC50
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : O_0
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : class - target_value : I
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : class - target_value : 1
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : Class - target_value : 85
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Y
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : Class - target_value : 13
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uploader_id : 1 - quality_measure : Cortana Quality - target_feature : class - target_value : Apple
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uploader_id : 62 - estimation_procedure : Custom 10-fold Crossvalidation - target_feature : pXC50
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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 : 10-fold Learning Curve - number_samples : 20 - target_feature : Class
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cost_matrix : [[0,1],[2,0]] - estimation_procedure : 10-fold Crossvalidation - target_feature : match - reuse : 1071 - reach_of_reuse : 7
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : phase - reuse : 34
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : LRS-class - reuse : 1191 - reach_of_reuse : 2
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : Activity_Label - reuse : 2
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cost_matrix : [[0,1],[500,0]] - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : total_cost - target_feature : Class - reuse : 350
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : precision - target_feature : class
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source_data_labeled : data-v3.en-es-lit.clean.anno_14top.uniform - estimation_procedure : Holdout unlabeled - target_feature : Annotation