OpenML
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 405
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 403
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 393
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 394
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 393
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 386
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 387
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 397
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 383
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 388
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 384
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 378
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 377
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 374
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 375
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Y - reuse : 247 - reach_of_reuse : 1
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 388
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 386
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Political_system - reuse : 383
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 377
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 377
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 392
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 372
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 376
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 9 - target_feature : Class - reuse : 118
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 363
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Acceptability - reuse : 369
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 365
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 380
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 380
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embargo_end_date : 2018-04-10 00:00:00 - uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : class - reuse : 380 - reach_of_reuse : 5
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 371
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Acceptability - reuse : 367
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 371
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 378
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 364
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 366
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 14 - target_feature : class - reuse : 112
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : ITEM - reuse : 364
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 353
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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 : OVERALL_DIAGNOSIS - reuse : 355
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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 : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 361
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 12 - target_feature : class - reuse : 104
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 361
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Sex - reuse : 350
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 354
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 8 - target_feature : class - reuse : 109
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 14 - target_feature : class - reuse : 105
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 358
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 358
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 358
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 356
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : X-class_flares_production_by_this_region - reuse : 356
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 355
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 351
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 352
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 355
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 15 - target_feature : class - reuse : 101
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Count - reuse : 354
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : OVERALL_DIAGNOSIS - reuse : 350
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 353
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 353
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Survival_status - reuse : 350
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 8 - target_feature : Utility - reuse : 97
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 347
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : surgical_lesion - reuse : 341
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : VISIBILITY - reuse : 341 - reach_of_reuse : 1
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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
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