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
