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165 runs0 likes0 downloads0 reach149 impact
uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 14 - target_feature : class - reuse : 149
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : AppType - reuse : 156
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS - reuse : 154
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 16 - target_feature : class - reuse : 149
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : origin - reuse : 50
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 154
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 152
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 154
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : chol - reuse : 160
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Contraceptive_method_used - reuse : 150
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : AppType - reuse : 150
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 159
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 159
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 48
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 138
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 147
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Language - reuse : 150 - reach_of_reuse : 2
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 141
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : APPETENCY - reuse : 108
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : surgical_lesion - reuse : 123
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 148 - reach_of_reuse : 1
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : class - reuse : 147
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 84
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : Trips - reuse : 145
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 26
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 9 - target_feature : class - reuse : 108
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 128
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 126
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 1 - target_feature : class - reuse : 141
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 124
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 4 - target_feature : class - reuse : 140
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 121
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 139
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 128
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 3 - target_feature : class - reuse : 111
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 119
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 132
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 131
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 114
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 120
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : movedin - reuse : 125
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Y - reuse : 123
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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 : 109
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 119
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 117
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 128
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 120
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 118
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 119
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : attr6 - reuse : 125
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 116
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : movedin - reuse : 118
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 3 - target_feature : attr6 - reuse : 124
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 3 - target_feature : attr6 - reuse : 124
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 124
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : pathology_cp_data - reuse : 115
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Y - reuse : 116
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : attr6 - reuse : 122
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : pathology_cp_data - reuse : 41
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 20 - target_feature : Class - reuse : 122
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 122
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 122
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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class - reuse : 54
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 116
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : attr6 - reuse : 121
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 4 - target_feature : attr6 - reuse : 121
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 4 - target_feature : F22 - reuse : 121
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CLASS_LABEL - reuse : 110
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 6 - target_feature : X-class_flares_production_by_this_region - reuse : 120
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 120
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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 112
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 2 - target_feature : F22 - reuse : 118
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 101
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label - reuse : 110
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : class - reuse : 116
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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 109
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 116
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 4 - target_feature : class - reuse : 115
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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - evaluation_measures : predictive_accuracy - number_samples : 7 - target_feature : class - reuse : 115
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 113
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 113
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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 97