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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE
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estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 3 - target_feature : TYPE
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estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 3 - target_feature : TYPE
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estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : pathology_cp_data
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estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : band_type
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 14
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 5
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 21
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 22
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 28
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 21
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 16
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 20
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 21
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 20
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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 : 315
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 346
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 336
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 307
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 182
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : selector
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : symboling - reuse : 304
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 294
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 301
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 325
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 321
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 315
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : TYPE
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 314
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : TYPE
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 305
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 23
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estimation_procedure : Interleaved Test then Train - target_feature : Contraceptive_method_used - reuse : 47
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estimation_procedure : Interleaved Test then Train - target_feature : pathology_cp_data - reuse : 48
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estimation_procedure : Interleaved Test then Train - target_feature : surgical_lesion - reuse : 47
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 193
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 48
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 47
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 47
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estimation_procedure : Interleaved Test then Train - target_feature : band_type - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 47
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 188
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estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 50
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estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 214
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estimation_procedure : Interleaved Test then Train - target_feature : num - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : num - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 45
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estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 209
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 44
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estimation_procedure : Interleaved Test then Train - target_feature : type - reuse : 46
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estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 12 - target_feature : Class
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 46
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 45
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 42
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estimation_procedure : Interleaved Test then Train - target_feature : symboling - reuse : 44
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 45
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estimation_procedure : Interleaved Test then Train - target_feature : Class - reuse : 44
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 44
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estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 49
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estimation_procedure : Interleaved Test then Train - target_feature : TYPE - reuse : 48
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estimation_procedure : Interleaved Test then Train - target_feature : TYPE - reuse : 49
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 21
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 20
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 21
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 25
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 18
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : symboling - reuse : 18
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 24
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : TYPE - reuse : 17
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 21
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 1
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 305
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 306
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 299
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : pathology_cp_data
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 199
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : surgical_lesion - reuse : 351
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 356
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 191
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : band_type
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : decision - reuse : 308
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 313
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 320
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 362
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 321
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Survival_status - reuse : 1377
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 367
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class_attribute - reuse : 311
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 389
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : num - reuse : 306
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 368
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 1419
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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 338