bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/526034ef035d076e7e0104ae --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/526034fc035d076e7f0235e0 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/52603504035d076e80011c4c --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/526034fc035d076e7f0235e0 --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/526034fc035d076e7f0235e0 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/526034fc035d076e7f0235e0 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/526035e1035d076e7d01905b --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/526035f1035d076e7f02361b --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/526035ff035d076e8101438e --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/5260360b035d076e80011c75 --model model/526035ff035d076e8101438e --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/52603662035d076e7d01906f --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/526036b0035d076e80011c98 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/526037bd035d076e7f0236c4 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/526037e6035d076e7d01909c --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5282c80ac38c592039000072 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5282c80fc38c59203900007c --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5282c812c38c592039000082 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5282c80fc38c59203900007c --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5282c80fc38c59203900007c --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5282c80fc38c59203900007c --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/5282c857c38c592039000144 --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/5282c85ec38c592039000151 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/5282c866c38c59203900015a --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/5282c86ac38c592039000164 --model model/5282c866c38c59203900015a --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/5282c875c38c59203900017a --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282c87cc38c5920390001a6 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/5282c898c38c5920390001ec --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/5282c8d4c38c59203900029d --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/5282c8eec38c5920390002ce --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/5282c8eec38c5920390002ce --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/5282c8eec38c5920390002ce --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282c945c38c5920390003c5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/5282c954c38c5920390003e1 --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5282c9b6035d074e9200c687 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5282c9c4035d074e9101c95b --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5282c9cc035d074e93014a23 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5282c9c4035d074e9101c95b --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5282c9c4035d074e9101c95b --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5282c9c4035d074e9101c95b --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/5282cab0035d074e93014a5a --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/5282cac1035d074e9101c9a8 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/5282cad0035d074e9400e976 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/5282cadb035d074e9200c6af --model model/5282cad0035d074e9400e976 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/5282cb02035d074e9101c9b7 --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282cb3b035d074e9500b60a --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/5282cb88035d074e93014a7f --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/5282cc48035d074e9500b62e --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/5282cc8e035d074e93014abf --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/5282cc8e035d074e93014abf --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/5282cc8e035d074e93014abf --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282cdc4035d074e9400e9d7 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/5282cde7035d074e9400e9e6 --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5282cf0b035d074e9200c740 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5282cf18035d074e9400ea13 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5282cf21035d074e9500b67d --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5282cf18035d074e9400ea13 --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5282cf18035d074e9400ea13 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5282cf18035d074e9400ea13 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/5282d001035d074e9400ea41 --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/5282d011035d074e9200c760 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/5282d01e035d074e9200c763 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/5282d02e035d074e9101cad3 --model model/5282d01e035d074e9200c763 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/5282d04d035d074e93014b4b --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282d08a035d074e93014b58 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/5282d0e4035d074e9101cafa --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/5282d1b6035d074e93014b7e --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/5282d1fe035d074e9400ea83 --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/5282d1fe035d074e9400ea83 --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/5282d1fe035d074e9400ea83 --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282d337035d074e9500b6f5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/5282d36a035d074e9200c7ca --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5282d468035d074e93014c16 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5282d475035d074e9200c7ee --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5282d483035d074e93014c19 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5282d475035d074e9200c7ee --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5282d475035d074e9200c7ee --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5282d475035d074e9200c7ee --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/5282d58d035d074e9101cc14 --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/5282d59e035d074e93014c4e --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/5282d5ae035d074e9101cc1b --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/5282d5bb035d074e9101cc21 --model model/5282d5ae035d074e9101cc1b --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/5282d5d8035d074e9101cc2b --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282d61b035d074e9500b738 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/5282d661035d074e9400eb34 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/5282d72c035d074e9200c846 --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/5282d786035d074e9101cc9e --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/5282d786035d074e9101cc9e --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/5282d786035d074e9101cc9e --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5282d8b0035d074e9500b76c --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/5282d8d4035d074e93014cd8 --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/528fa752035d07728100ace7 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/528fa762035d07728000c369 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/528fa771035d07728000c36c --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/528fa762035d07728000c369 --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/528fa762035d07728000c369 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/528fa762035d07728000c369 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/528fa864035d07728000c39c --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/528fa878035d07727f008a51 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/528fa887035d07728000c3a6 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/528fa894035d07727f008a55 --model model/528fa887035d07728000c3a6 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/528fa8b4035d07727d009ed0 --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/528fa902035d07727e01018f --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/528fa972035d07727e0101b4 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/528faa49035d07727e0101f7 --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/528faa9b035d07727d009f1a --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/528faa9b035d07727d009f1a --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/528faa9b035d07727d009f1a --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/528fabf7035d07727e010273 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/528fac22035d07727e01027f --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/528fb09f035d07727d009f76 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/528fb0ae035d07728000c46d --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/528fb0b9035d07728000c473 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/528fb0ae035d07728000c46d --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/528fb0ae035d07728000c46d --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/528fb0ae035d07728000c46d --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/528fb1ba035d07728100adab --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/528fb1cd035d07727f008b12 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/528fb1dc035d07727d009fa3 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/528fb1ea035d07728000c49a --model model/528fb1dc035d07727d009fa3 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/528fb213035d07728100adb4 --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/528fb26e035d07728100adc7 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/528fb2bf035d07728100add6 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/528fb393035d07728100adee --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/528fb3e3035d07728100adf8 --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/528fb3e3035d07728100adf8 --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/528fb3e3035d07728100adf8 --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/528fb534035d07727e010391 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/528fb567035d07728100ae1e --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/528fb987035d07727e0103c7 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/528fb99d035d07728000c56e --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/528fb9a8035d07728000c571 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/528fb99d035d07728000c56e --test ../data/test_iris.csv --number-of-models 10 --no-replacement --tag my_ensemble --store --output ./scenario5/predictions.csv
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/528fb99d035d07728000c56e --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/528fb99d035d07728000c56e --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/528fbaaf035d07727f008bac --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/528fbac3035d07728100ae67 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/528fbad2035d07727d00a043 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/528fbade035d07727e010410 --model model/528fbad2035d07727d00a043 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/528fbb02035d07728000c59f --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/528fbb46035d07728000c5af --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/528fbb8f035d07727e010436 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/528fbc79035d07727d00a077 --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/528fbcce035d07728000c5ff --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/528fbcce035d07728000c5ff --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/528fbcce035d07728000c5ff --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/528fbe3e035d07728100aecf --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/528fbe68035d07727f008c07 --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5292a645035d07728100b674 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5292a651035d07728100b678 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5292a659035d07728100b67b --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5292a651035d07728100b678 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5292a651035d07728100b678 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5292a651035d07728100b678 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --dataset dataset/5292a744035d07727e0116fa --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv
bigmler --ensemble ensemble/5292a74d035d07727f0091d8 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10
bigmler --ensemble ensemble/5292a74d035d07727f0091d8 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5292a8e9035d07727f0091e8 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5292a8f5035d07728100b693 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5292a8ff035d07728000d45d --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5292a8f5035d07728100b693 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5292a8f5035d07728100b693 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5292a8f5035d07728100b693 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --dataset dataset/5292a9e3035d07728100b6ae --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv
bigmler --ensemble ensemble/5292a9ec035d07728000d47d --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10
bigmler --ensemble ensemble/5292a9ec035d07728000d47d --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5292aab7035d07727d00a617 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5292aac3035d07727e011766 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5292aacc035d07727e011769 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5292aac3035d07727e011766 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5292aac3035d07727e011766 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5292aac3035d07727e011766 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --dataset dataset/5292abb8035d07727e0117b4 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv
bigmler --ensemble ensemble/5292abc1035d07727e0117b7 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10
bigmler --ensemble ensemble/5292abc1035d07727e0117b7 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/5293d947035d07728000d93c --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/5293d955035d07727e011e00 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/5293d95e035d07728100ba0e --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/5293d955035d07727e011e00 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/5293d955035d07727e011e00 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/5293d955035d07727e011e00 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --dataset dataset/5293da03035d07727e011e25 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv
bigmler --ensemble ensemble/5293da0c035d07727d00a8b8 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10
bigmler --ensemble ensemble/5293da0c035d07727d00a8b8 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/5293da64035d07727e011e4f --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/5293da74035d07727e011e56 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/5293da81035d07727e011e59 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/5293da8c035d07728100ba45 --model model/5293da81035d07727e011e59 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/5293daab035d07727e011e69 --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5293daea035d07727d00a8dd --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/5293db28035d07727f009491 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/5293dbfc035d07727e011ef5 --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/5293dc43035d07728000d9a5 --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/5293dc43035d07728000d9a5 --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/5293dc43035d07728000d9a5 --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/5293dd69035d07727e011f7d --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/5293dd8f035d07727e011f8f --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/529e2436035d07727e037cd4 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/529e2446035d07728002c3b8 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/529e2452035d07727f01f5ad --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/529e2446035d07728002c3b8 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/529e2446035d07728002c3b8 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/529e2446035d07728002c3b8 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --dataset dataset/529e2526035d0772810265e2 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv
bigmler --ensemble ensemble/529e2531035d07727f01f5cd --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10
bigmler --ensemble ensemble/529e2531035d07727f01f5cd --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/529e2599035d07728002c3e9 --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/529e25ac035d07727f01f5e5 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/529e25ba035d07727e037d11 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/529e25c6035d0772810265f8 --model model/529e25ba035d07727e037d11 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/529e25e3035d077281026601 --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --train ../data/iris.csv --max-categories 1 --test ../data/test_iris.csv --store --output ./scenario_mc_1/predictions.csv
bigmler --source source/529e25ef035d07727d02200c --max-categories 1 --test ../data/test_iris.csv --store --output ./scenario_mc_2/predictions.csv
bigmler --dataset dataset/529e25f3035d07727e037d49 --max-categories 1 --test ../data/test_iris.csv --store --output ./scenario_mc_3/predictions.csv
bigmler --models scenario_mc_1/models --method combined --test ../data/test_iris.csv --store --output ./scenario_mc_4/predictions.csv
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/52ab353c035d0779e2011106 --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/52ab3554035d0779df0139d4 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/52ab355d035d0779e001aaf7 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/52ab3554035d0779df0139d4 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/52ab3554035d0779df0139d4 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/52ab3554035d0779df0139d4 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --dataset dataset/52ab360c035d0779e001ab31 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv
bigmler --ensemble ensemble/52ab3617035d0779e001ab34 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10
bigmler --ensemble ensemble/52ab3617035d0779e001ab34 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/52ab368b035d0779df0139eb --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/52ab369f035d0779dd01619f --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/52ab36af035d0779dd0161a2 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/52ab36bd035d0779dc0124ba --model model/52ab36af035d0779dd0161a2 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/52ab36db035d0779dc0124be --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --train ../data/iris.csv --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_1/predictions.csv
bigmler --source source/52ab36e7035d0779dd0161b4 --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_2/predictions.csv
bigmler --dataset dataset/52ab36eb035d0779dc0124c1 --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_3/predictions.csv
bigmler --models scenario_mc_1/models --method combined --test ../data/test_iris.csv --store --output ./scenario_mc_4/predictions.csv
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1
bigmler --source source/52b2420d035d073bb800347a --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv
bigmler --dataset dataset/52b2421a035d073bb900543c --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv
bigmler --model model/52b24223035d073bba0027c6 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1
bigmler --dataset dataset/52b2421a035d073bb900543c --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted"
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted"
bigmler --dataset dataset/52b2421a035d073bb900543c --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv
bigmler --dataset dataset/52b2421a035d073bb900543c --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full
bigmler --dataset dataset/52b242c6035d073bba0027d7 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv
bigmler --ensemble ensemble/52b242cf035d073bba0027da --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10
bigmler --ensemble ensemble/52b242cf035d073bba0027da --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/52b24331035d073bb80034a1 --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/52b24341035d073bb6004123 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/52b2434e035d073bb900548a --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/52b24358035d073bb9005493 --model model/52b2434e035d073bb900548a --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/52b24372035d073bb900549d --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/52b243b1035d073bb80034ae --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv
bigmler --multi-label --dataset dataset/52b243f6035d073bb90054ba --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/52b244e1035d073bb7002e59 --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/52b24523035d073bb6004185 --evaluate --store --output ./scenario_ml_e3/evaluation
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/52b24523035d073bb6004185 --evaluate --store --output ./scenario_ml_e4/evaluation
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/52b24523035d073bb6004185 --evaluate --store --output ./scenario_ml_e5/evaluation
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1
bigmler --multi-label --source source/52b2463f035d073bb9005575 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv
bigmler --multi-label --dataset dataset/52b24665035d073bb900557c --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --fields-map ../data/grades_fields_map.csv --store --output ./scenario_r1_r/predictions.csv --remote --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario_r1/predictions.csv --remote --verbosity 0
bigmler --source source/52c59a9c035d0719ce00075e --test-source source/52c59aa6035d0719cd0005b6 --store --remote --output ./scenario_r2/predictions.csv --verbosity 0
bigmler --dataset dataset/52c59acc035d0719cb000343 --test-dataset dataset/52c59ad1035d0719ce000767 --store --remote --output ./scenario_r3/predictions.csv --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --source source/52c59b55035d0719cb00034b --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv --verbosity 0
bigmler --dataset dataset/52c59b69035d0719ce000774 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv --verbosity 0
bigmler --model model/52c59b89035d0719cb000351 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --dataset dataset/52c59b69035d0719ce000774 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement --verbosity 0
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv --verbosity 0
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --dataset dataset/52c59b69035d0719ce000774 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv --verbosity 0
bigmler --dataset dataset/52c59b69035d0719ce000774 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation --verbosity 0
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --verbosity 0
bigmler --dataset dataset/52c59c7d035d0719cb00036e --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv --verbosity 0
bigmler --ensemble ensemble/52c59c8b035d0719cd0005d7 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10 --verbosity 0
bigmler --ensemble ensemble/52c59c8b035d0719cd0005d7 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1 --verbosity 0
bigmler --train ../data/iris.csv --no-model --store --output-dir ./scenario_d_1 --verbosity 0
bigmler --dataset dataset/52c59d99035d0719cd0005e6 --no-model --store --output-dir ./scenario_d_1 --new-fields ../data/new_fields.json --verbosity 0
bigmler --train ../data/iris.csv --no-model --store --output-dir ./scenario_d_2 --verbosity 0
bigmler --dataset dataset/52c59db6035d0719ce0007ac --no-model --store --output-dir ./scenario_d_2 --dataset-attributes ../data/attributes.json --verbosity 0
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/52c59ddf035d0719cf000413 --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/52c59df8035d0719cf000416 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/52c59e06035d0719ce0007b1 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/52c59e13035d0719cc0003d8 --model model/52c59e06035d0719ce0007b1 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/52c59e30035d0719cb00038d --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --train ../data/iris.csv --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_1/predictions.csv --verbosity 0
bigmler --source source/52c59eb4035d0719cd000605 --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_2/predictions.csv --verbosity 0
bigmler --dataset dataset/52c59f10035d0719cd000608 --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_3/predictions.csv --verbosity 0
bigmler --models scenario_mc_1/models --method combined --test ../data/test_iris.csv --store --output ./scenario_mc_4/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --verbosity 0
bigmler --multi-label --source source/52c59fce035d0719ce0007da --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv --verbosity 0
bigmler --multi-label --dataset dataset/52c5a03e035d0719cd000618 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/52c5a1a0035d0719cd00063c --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/52c5a220035d0719ce000802 --evaluate --store --output ./scenario_ml_e3/evaluation --verbosity 0
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/52c5a220035d0719ce000802 --evaluate --store --output ./scenario_ml_e4/evaluation --verbosity 0
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/52c5a220035d0719ce000802 --evaluate --store --output ./scenario_ml_e5/evaluation --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --verbosity 0
bigmler --multi-label --source source/52c5a44e035d0719cc00045f --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv --verbosity 0
bigmler --multi-label --dataset dataset/52c5a490035d0719ce00084c --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv --verbosity 0
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --verbosity 0
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --fields-map ../data/grades_fields_map.csv --store --output ./scenario_r1_r/predictions.csv --remote --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario_r1/predictions.csv --remote --verbosity 0
bigmler --source source/52cc96fb035d074b0d000090 --test-source source/52cc9702035d074b0e00007c --store --remote --output ./scenario_r2/predictions.csv --verbosity 0
bigmler --dataset dataset/52cc9711035d074b100000c6 --test-dataset dataset/52cc9715035d074b100000cc --store --remote --output ./scenario_r3/predictions.csv --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --source source/52cc975e035d074b100000db --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv --verbosity 0
bigmler --dataset dataset/52cc976a035d074b0f0000b1 --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv --verbosity 0
bigmler --model model/52cc9770035d074b0d0000a2 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --dataset dataset/52cc976a035d074b0f0000b1 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement --verbosity 0
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv --verbosity 0
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --dataset dataset/52cc976a035d074b0f0000b1 --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv --verbosity 0
bigmler --dataset dataset/52cc976a035d074b0f0000b1 --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation --verbosity 0
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --verbosity 0
bigmler --dataset dataset/52cc97f8035d074b0d0000c3 --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv --verbosity 0
bigmler --ensemble ensemble/52cc9800035d074b0d0000c6 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10 --verbosity 0
bigmler --ensemble ensemble/52cc9800035d074b0d0000c6 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1 --verbosity 0
bigmler --train ../data/iris.csv --no-model --store --output-dir ./scenario_d_1 --verbosity 0
bigmler --dataset dataset/52cc9863035d074b0d0000e2 --no-model --store --output-dir ./scenario_d_1 --new-fields ../data/new_fields.json --verbosity 0
bigmler --train ../data/iris.csv --no-model --store --output-dir ./scenario_d_2 --verbosity 0
bigmler --dataset dataset/52cc986d035d074b100000ff --no-model --store --output-dir ./scenario_d_2 --dataset-attributes ../data/attributes.json --verbosity 0
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/52cc9888035d074b0c00013a --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/52cc989e035d074b0d0000e7 --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/52cc98a8035d074b0c000146 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/52cc98b2035d074b0c000149 --model model/52cc98a8035d074b0c000146 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/52cc98d3035d074b1000010a --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --train ../data/iris.csv --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_1/predictions.csv --verbosity 0
bigmler --source source/52cc9913035d074b0f0000d8 --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_2/predictions.csv --verbosity 0
bigmler --dataset dataset/52cc992d035d074b0c00016a --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_3/predictions.csv --verbosity 0
bigmler --models scenario_mc_1/models --method combined --test ../data/test_iris.csv --store --output ./scenario_mc_4/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --verbosity 0
bigmler --multi-label --source source/52cc9997035d074b0f0000ea --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv --verbosity 0
bigmler --multi-label --dataset dataset/52cc99d3035d074b0f0000f2 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/52cc9a87035d074b0f000100 --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/52cc9ac5035d074b10000156 --evaluate --store --output ./scenario_ml_e3/evaluation --verbosity 0
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/52cc9ac5035d074b10000156 --evaluate --store --output ./scenario_ml_e4/evaluation --verbosity 0
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/52cc9ac5035d074b10000156 --evaluate --store --output ./scenario_ml_e5/evaluation --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --verbosity 0
bigmler --multi-label --source source/52cc9be6035d074b0e0000db --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv --verbosity 0
bigmler --multi-label --dataset dataset/52cc9c04035d074b0c00024a --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv --verbosity 0
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --verbosity 0
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --fields-map ../data/grades_fields_map.csv --store --output ./scenario_r1_r/predictions.csv --remote --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario_r1/predictions.csv --remote --verbosity 0
bigmler --source source/52d04c2b035d07719b000006 --test-source source/52d04c4f035d07719c000009 --store --remote --output ./scenario_r2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d04cad035d07719c00000c --test-dataset dataset/52d04cbd035d077199000003 --store --remote --output ./scenario_r3/predictions.csv --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --source source/52d04dd2035d07719d00000f --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d04dda035d07719900000c --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv --verbosity 0
bigmler --model model/52d04ddf035d07719900000f --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --dataset dataset/52d04dda035d07719900000c --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement --verbosity 0
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv --verbosity 0
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --dataset dataset/52d04dda035d07719900000c --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv --verbosity 0
bigmler --dataset dataset/52d04dda035d07719900000c --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation --verbosity 0
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --verbosity 0
bigmler --dataset dataset/52d05053035d07719d00002a --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv --verbosity 0
bigmler --ensemble ensemble/52d05062035d07719b00001b --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10 --verbosity 0
bigmler --ensemble ensemble/52d05062035d07719b00001b --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1 --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --fields-map ../data/grades_fields_map.csv --store --output ./scenario_r1_r/predictions.csv --remote --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario_r1/predictions.csv --remote --verbosity 0
bigmler --source source/52d053f2035d07719900002d --test-source source/52d053fc035d07719d00003b --store --remote --output ./scenario_r2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d0541e035d07719d00003e --test-dataset dataset/52d05423035d07719b00002c --store --remote --output ./scenario_r3/predictions.csv --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --fields-map ../data/grades_fields_map.csv --store --output ./scenario_r1_r/predictions.csv --remote --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario_r1/predictions.csv --remote --verbosity 0
bigmler --source source/52d055fa035d07719a00003c --test-source source/52d05608035d07719a000042 --store --remote --output ./scenario_r2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d056d6035d07719900004e --test-dataset dataset/52d056db035d077199000051 --store --remote --output ./scenario_r3/predictions.csv --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --fields-map ../data/grades_fields_map.csv --store --output ./scenario_r1_r/predictions.csv --remote --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario_r1/predictions.csv --remote --verbosity 0
bigmler --source source/52d06945035d07719b000045 --test-source source/52d06952035d07719b00004b --store --remote --output ./scenario_r2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d06948035d07719c000050 --test-dataset dataset/52d06956035d07719900005d --store --remote --output ./scenario_r3/predictions.csv --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --fields-map ../data/grades_fields_map.csv --store --output ./scenario_r1_r/predictions.csv --remote --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario_r1/predictions.csv --remote --verbosity 0
bigmler --source source/52d2b881035d0709aa000096 --test-source source/52d2b891035d0709a800005e --store --remote --output ./scenario_r2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d2b8a5035d0709a8000061 --test-dataset dataset/52d2b8ab035d0709aa0000a2 --store --remote --output ./scenario_r3/predictions.csv --verbosity 0
bigmler --train ../data/grades.csv --test ../data/test_grades.csv --store --output ./scenario1_r/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario1/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --source source/52d2b907035d0709a800006b --test ../data/test_iris.csv --store --output ./scenario2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d2b91a035d0709aa0000ae --test ../data/test_iris.csv --store --output ./scenario3/predictions.csv --verbosity 0
bigmler --model model/52d2b924035d0709a7000061 --test ../data/test_iris.csv --store --output ./scenario4/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --dataset dataset/52d2b91a035d0709aa0000ae --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario5/predictions.csv --no-replacement --verbosity 0
bigmler --models ./scenario5/models --test ../data/test_iris.csv --store --output ./scenario6/predictions.csv --verbosity 0
bigmler --datasets ./scenario1/dataset --test ../data/test_iris.csv --store --output ./scenario7/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario8/predictions.csv --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1,./scenario5 --store --output ./scenario9/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_c.csv --method "confidence weighted" --verbosity 0
bigmler --combine-votes ./scenario1_r,./scenario1_r --store --output ./scenario10/predictions_p.csv --method "probability weighted" --verbosity 0
bigmler --dataset dataset/52d2b91a035d0709aa0000ae --objective 0 --model-fields "petal length,petal width" --test ../data/test_iris.csv --store --output ./scenario11/predictions.csv --verbosity 0
bigmler --dataset dataset/52d2b91a035d0709aa0000ae --cross-validation-rate 0.05 --store --output ./scenario12/cross-validation --verbosity 0
bigmler --train ../data/iris.csv --locale es_ES.UTF-8 --store --output ./scenario13/store_file --no-dataset --no-model --store
bigmler --train ../data/iris.csv --test ../data/test_iris.tsv --test-separator \t --store --output ./scenario14/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --train ../data/iris.csv --test ../data/test_iris.csv --store --output ./scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --verbosity 0
bigmler --dataset dataset/52d2b9eb035d0709aa0000cb --test ../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output ./scenario16/predictions.csv --verbosity 0
bigmler --ensemble ensemble/52d2b9fe035d0709a8000080 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions2.csv --method threshold --threshold 10 --verbosity 0
bigmler --ensemble ensemble/52d2b9fe035d0709a8000080 --test ../data/test_iris.csv --tag my_ensemble --store --output ./scenario16/predictions3.csv --method threshold --threshold 1 --verbosity 0
bigmler --train ../data/iris.csv --no-model --store --output-dir ./scenario_d_1 --verbosity 0
bigmler --dataset dataset/52d2ba9e035d0709aa0000db --no-model --store --output-dir ./scenario_d_1 --new-fields ../data/new_fields.json --verbosity 0
bigmler --train ../data/iris.csv --no-model --store --output-dir ./scenario_d_2 --verbosity 0
bigmler --dataset dataset/52d2bab3035d0709a7000089 --no-model --store --output-dir ./scenario_d_2 --dataset-attributes ../data/attributes.json --verbosity 0
bigmler --evaluate --train ../data/iris.csv --store --output ./scenario_e1/evaluation
bigmler --evaluate --source source/52d2badf035d0709ab000098 --output ./scenario_e2/evaluation
bigmler --evaluate --dataset dataset/52d2baf9035d0709ab00009b --output ./scenario_e3/evaluation
bigmler --evaluate --test ../data/iris.csv --model model/52d2bb0a035d0709a9000166 --output ./scenario_e4/evaluation
bigmler --evaluate --dataset dataset/52d2bb16035d0709a900016c --model model/52d2bb0a035d0709a9000166 --output ./scenario_e5/evaluation
bigmler --evaluate --train ../data/iris.csv --test-split 0.2 --output ./scenario_e6/evaluation
bigmler --evaluate --test ../data/iris_permuted.csv --model model/52d2bb38035d0709a9000178 --output ./scenario_e7/evaluation --fields-map ../data/fields_map.csv
bigmler --train ../data/iris.csv --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_1/predictions.csv --verbosity 0
bigmler --source source/52d2bb9a035d0709aa0000f7 --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_2/predictions.csv --verbosity 0
bigmler --dataset dataset/52d2bbc5035d0709a80000ab --max-categories 1 --objective species --test ../data/test_iris.csv --store --output ./scenario_mc_3/predictions.csv --verbosity 0
bigmler --models scenario_mc_1/models --method combined --test ../data/test_iris.csv --store --output ./scenario_mc_4/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --number-of-models 3 --store --output ./scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --verbosity 0
bigmler --multi-label --source source/52d2bc64035d0709a70000b0 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_2/predictions.csv --verbosity 0
bigmler --multi-label --dataset dataset/52d2bd2d035d0709a90001b0 --number-of-models 3 --test ../data/test_multilabel.csv --store --output ./scenario_mle_3/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output ./scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1
bigmler --multi-label --source source/52d2bfe4035d0709a90001d6 --evaluate --store --output ./scenario_ml_e2/evaluation
bigmler --multi-label --dataset dataset/52d2c06a035d0709a80000d0 --evaluate --store --output ./scenario_ml_e3/evaluation --verbosity 0
bigmler --multi-label --models ./scenario_ml_e1/models --dataset dataset/52d2c06a035d0709a80000d0 --evaluate --store --output ./scenario_ml_e4/evaluation --verbosity 0
bigmler --multi-label --model-tag my_multilabel_e_1 --dataset dataset/52d2c06a035d0709a80000d0 --evaluate --store --output ./scenario_ml_e5/evaluation --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --verbosity 0
bigmler --multi-label --source source/52d2c20f035d0709a7000103 --test ../data/test_multilabel.csv --store --output ./scenario_ml_2/predictions.csv --verbosity 0
bigmler --multi-label --dataset dataset/52d2c245035d0709aa000163 --test ../data/test_multilabel.csv --store --output ./scenario_ml_3/predictions.csv --verbosity 0
bigmler --multi-label --models ./scenario_ml_1/models --test ../data/test_multilabel.csv --store --output ./scenario_ml_4/predictions.csv --verbosity 0
bigmler --multi-label --train ../data/multilabel.csv --label-separator : --training-separator , --test ../data/test_multilabel.csv --store --output ./scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --verbosity 0
bigmler --multi-label --model-tag my_multilabel_5 --test ../data/test_multilabel.csv --store --output ./scenario_ml_5/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_ml_7/predictions.csv --max-batch-models 1 --verbosity 0
bigmler --multi-label --train ../data/multilabel_multi.csv --multi-label-fields type,class --label-separator : --training-separator , --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test ../data/test_multilabel.csv --store --output ./scenario_mlm_1/predictions.csv --objective class --tag my_multilabelm_1 --max-batch-models 1 --verbosity 0
bigmler --multi-label --source source/52d2c344035d0709aa00017d --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test ../data/test_multilabel.csv --store --output ./scenario_mlm_2/predictions.csv --verbosity 0
bigmler --multi-label --dataset dataset/52d2c387035d0709a7000129 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test ../data/test_multilabel.csv --store --output ./scenario_mlm_3/predictions.csv --verbosity 0
bigmler --multi-label --models ./scenario_mlm_1/models --test ../data/test_multilabel.csv --store --output ./scenario_mlm_4/predictions.csv --objective class --verbosity 0
bigmler --multi-label --model-tag my_multilabelm_1 --labels Adult,Student --test ../data/test_multilabel.csv --store --output ./scenario_mlm_5/predictions.csv --objective class --max-batch-models 1 --verbosity 0
