OpenML
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 1 - target_feature : class - reuse : 188
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 206
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 204
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 211
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 211
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 206
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 210
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 206
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 7 - target_feature : class - reuse : 169
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : Class - reuse : 191
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 206
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 204
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 202
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 202
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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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-fold Learning Curve - number_samples : 7 - target_feature : class - reuse : 169
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 205
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 19 - target_feature : game - reuse : 98
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Cy_Young - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Home/Away - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 206
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : problems - reuse : 206
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 204
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 209
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 204
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 72
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Damaged - reuse : 203
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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 201
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : VISIBILITY - reuse : 204
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 201
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : c - reuse : 204
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : defects - reuse : 199
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 207
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 5 - target_feature : Class - reuse : 190
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 1 - target_feature : class - reuse : 184
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 5 - target_feature : class - reuse : 192
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 4 - target_feature : Class - reuse : 188
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Survival_status - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Laid.off - reuse : 205
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 207 - reach_of_reuse : 2
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 202
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : OVERALL_DIAGNOSIS - reuse : 202
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : DL - reuse : 200
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : c - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 201
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 202
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 202
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : Class - reuse : 188
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Winner - reuse : 202
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Tissue - reuse : 43
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 204
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 208
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 203
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 199
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : class - reuse : 192
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 201
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 202