OpenML
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 337
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 336
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 330
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Who_Pays_for_Access_Work - reuse : 318
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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 : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 328
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 325
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 11 - target_feature : class - reuse : 76
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 327
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 317
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 323
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 326
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 10 - target_feature : class_protein_localization - reuse : 102
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : surgical_lesion - reuse : 322
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 89
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 317
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : num - reuse : 317
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 313
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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 Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 14 - target_feature : class - reuse : 66
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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 : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 318
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Type - reuse : 313
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Drama - reuse : 77
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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 : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class_attribute - reuse : 315
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : X1a - reuse : 314
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 313
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 11 - target_feature : class - reuse : 72
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 312
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : num - reuse : 314
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 11 - target_feature : class - reuse : 56
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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 : 311
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Type - reuse : 310
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 311
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class_protein_localization - reuse : 313
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Utility - reuse : 313
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Trips - reuse : 312
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : AppType - reuse : 312
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 311
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 309
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 308
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 11 - target_feature : class - reuse : 55
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 11 - target_feature : class - reuse : 62
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 12 - target_feature : class - reuse : 58
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 8 - target_feature : class - reuse : 64
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : WhiteClover-94 - reuse : 307
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 11 - target_feature : class - reuse : 55
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 9 - target_feature : class - reuse : 57
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 304
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 306
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 307
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 11 - target_feature : class - reuse : 60
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 304
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 303
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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 : 313
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 302
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 9 - target_feature : Class - reuse : 55
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : OVERALL_DIAGNOSIS - reuse : 74
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 68
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 56
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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 : 301
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class_attribute - reuse : 302
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 300
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : num - reuse : 303
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 64
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 239
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 299
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 61
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 59
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : pasture-prod-class - reuse : 294
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Acceptability - reuse : 295
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 61
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : codrna_Y - reuse : 56
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : decision - reuse : 297
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 294
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 301
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 299
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 65
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 58
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 299
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 294
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Acceptability - reuse : 293
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : num - reuse : 298
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 8 - target_feature : class - reuse : 53
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 61
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 77
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 57
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : Y - reuse : 63
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 295
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 294
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 294
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 296
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 298