bigmler analyze --dataset dataset/586ebc3d7e0a8d2c54116499 --cross-validation --k-folds 2 --output scenario_a_1 --verbosity 0
bigmler analyze --dataset dataset/586ebc68663ac204890a17b7 --features --k-folds 2 --output scenario_a_12 "--exclude-features=petal length,sepal length" --predictions-csv --verbosity 0
bigmler analyze --dataset dataset/586ebce97e0a8d3def02f750 --features --k-folds 2 --output scenario_a_13 "--exclude-features=species,sepal length" --predictions-csv --objective 0 --verbosity 0
bigmler analyze --dataset dataset/586ebdca663ac204990427cd --features --k-folds 2 --output scenario_a_14 "--exclude-features=petal length,sepal length" --predictions-csv --number-of-models 2 --verbosity 0
bigmler analyze --dataset dataset/586ebe587e0a8d2c541168c7 --features --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/586ebeac7e0a8d2c54116969 --features --k-folds 2 --output scenario_a_3 --optimize phi --verbosity 0
bigmler analyze --dataset dataset/586ebf04663ac204890a1c33 --features --k-folds 2 --output scenario_a_5 --optimize r_squared --objective 0 --verbosity 0
bigmler analyze --dataset dataset/586ebf60663ac20499042915 --features --k-folds 2 --output scenario_a_8 --optimize mean_squared_error --objective 0 --verbosity 0
bigmler analyze --dataset dataset/586ebfc0663ac20499042966 --features --k-folds 2 --output scenario_a_6 --optimize recall --objective species --verbosity 0
bigmler analyze --datasets scenario_a_4/dataset --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_4 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/586ec0c2663ac20499042a33 --features --k-folds 2 --output scenario_a_7 --exclude-features "petal length!sepal width" --args-separator ! --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/586ec11f7e0a8d3def02f9f0 --features --k-folds 2 --output scenario_a_9 --optimize recall --optimize-category spam --verbosity 0
bigmler analyze --dataset dataset/586ec1507e0a8d2c530c26a8 --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_10 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/586ec1ea7e0a8d2c590d20f9 --random-fields --number_of_models 2 --k-folds 2 --output scenario_a_11 --optimize precision
bigmler analyze --dataset dataset/586ec36a7e0a8d2c541175cc --features --dev --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58a4fc28663ac24eec002548 --cross-validation --k-folds 2 --output scenario_a_1 --verbosity 0
bigmler analyze --dataset dataset/58a4fc4f7e0a8d4ddc009bd5 --features --k-folds 2 --output scenario_a_12 "--exclude-features=petal length,sepal length" --predictions-csv --verbosity 0
bigmler analyze --dataset dataset/58a4fcb9663ac250ab006779 --features --k-folds 2 --output scenario_a_13 "--exclude-features=species,sepal length" --predictions-csv --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58a4fd7a663ac250ab006828 --features --k-folds 2 --output scenario_a_14 "--exclude-features=petal length,sepal length" --predictions-csv --number-of-models 2 --verbosity 0
bigmler analyze --dataset dataset/58a4fdf5663ac250ab0068a0 --features --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58a4fe457e0a8d5c9d003b1e --features --k-folds 2 --output scenario_a_3 --optimize phi --verbosity 0
bigmler analyze --dataset dataset/58a4fe99663ac24eec0025fb --features --k-folds 2 --output scenario_a_5 --optimize r_squared --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58a4fee6663ac2511800437f --features --k-folds 2 --output scenario_a_8 --optimize mean_squared_error --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58a4ff3c663ac24f4e002700 --features --k-folds 2 --output scenario_a_6 --optimize recall --objective species --verbosity 0
bigmler analyze --datasets scenario_a_4/dataset --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_4 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58a50027663ac2511800440c --features --k-folds 2 --output scenario_a_7 --exclude-features "petal length!sepal width" --args-separator ! --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58a5007a663ac250ab006a59 --features --k-folds 2 --output scenario_a_9 --optimize recall --optimize-category spam --verbosity 0
bigmler analyze --dataset dataset/58a500a47e0a8d4ddc009e2a --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_10 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58a50132663ac24e83003993 --random-fields --number_of_models 2 --k-folds 2 --output scenario_a_11 --optimize precision
bigmler analyze --dataset dataset/58a5028b7e0a8d4ddc009f37 --features --dev --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58c1f39f663ac27dd8002fc0 --cross-validation --k-folds 2 --output scenario_a_1 --verbosity 0
bigmler analyze --dataset dataset/58c1f3c5663ac27dd8002fd8 --features --k-folds 2 --output scenario_a_12 "--exclude-features=petal length,sepal length" --predictions-csv --verbosity 0
bigmler analyze --dataset dataset/58c1f433663ac27dd1001a98 --features --k-folds 2 --output scenario_a_13 "--exclude-features=species,sepal length" --predictions-csv --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58c1f4f4663ac27dd600310c --features --k-folds 2 --output scenario_a_14 "--exclude-features=petal length,sepal length" --predictions-csv --number-of-models 2 --verbosity 0
bigmler analyze --dataset dataset/58c1f567663ac27dd8003038 --features --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58c1f5b2663ac27dd8003059 --features --k-folds 2 --output scenario_a_3 --optimize phi --verbosity 0
bigmler analyze --dataset dataset/58c1f602663ac27dd2004aec --features --k-folds 2 --output scenario_a_5 --optimize r_squared --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58c1f6527e0a8d02e200473f --features --k-folds 2 --output scenario_a_8 --optimize mean_squared_error --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58c1f6a9663ac27dd30018b5 --features --k-folds 2 --output scenario_a_6 --optimize recall --objective species --verbosity 0
bigmler analyze --datasets scenario_a_4/dataset --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_4 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58c1f78b7e0a8d02e4003cd3 --features --k-folds 2 --output scenario_a_7 --exclude-features "petal length!sepal width" --args-separator ! --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58c1f7df663ac27dd2004b8b --features --k-folds 2 --output scenario_a_9 --optimize recall --optimize-category spam --verbosity 0
bigmler analyze --dataset dataset/58c1f80b663ac27dd80030dd --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_10 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58c1f8a07e0a8d02e20047ee --random-fields --number_of_models 2 --k-folds 2 --output scenario_a_11 --optimize precision
bigmler analyze --dataset dataset/58c1f9e87e0a8d02e20048e1 --features --dev --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58d1e948663ac21b6500192a --cross-validation --k-folds 2 --output scenario_a_1 --verbosity 0
bigmler analyze --dataset dataset/58d1e96f663ac21b6500193c --features --k-folds 2 --output scenario_a_12 "--exclude-features=petal length,sepal length" --predictions-csv --verbosity 0
bigmler analyze --dataset dataset/58d1e9d0663ac21b6900162e --features --k-folds 2 --output scenario_a_13 "--exclude-features=species,sepal length" --predictions-csv --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58d1ea7a663ac21b6500199b --features --k-folds 2 --output scenario_a_14 "--exclude-features=petal length,sepal length" --predictions-csv --number-of-models 2 --verbosity 0
bigmler analyze --dataset dataset/58d1eaec663ac21b6d000a82 --features --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58d1eb357e0a8d22a70012e7 --features --k-folds 2 --output scenario_a_3 --optimize phi --verbosity 0
bigmler analyze --dataset dataset/58d1eb867e0a8d22a800117c --features --k-folds 2 --output scenario_a_5 --optimize r_squared --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58d1ebcc663ac21b6d000aa8 --features --k-folds 2 --output scenario_a_8 --optimize mean_squared_error --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58d1ec187e0a8d22ab000a02 --features --k-folds 2 --output scenario_a_6 --optimize recall --objective species --verbosity 0
bigmler analyze --datasets scenario_a_4/dataset --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_4 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58d1ece77e0a8d22a5000a7e --features --k-folds 2 --output scenario_a_7 --exclude-features "petal length!sepal width" --args-separator ! --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58d1ed34663ac21b69001692 --features --k-folds 2 --output scenario_a_9 --optimize recall --optimize-category spam --verbosity 0
bigmler analyze --dataset dataset/58d1ed5b663ac21b65001a9b --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_10 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58d1eddf663ac21b65001ac4 --random-fields --number_of_models 2 --k-folds 2 --output scenario_a_11 --optimize precision
bigmler analyze --dataset dataset/58d1eef6663ac21b72001b72 --features --dev --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58d86658663ac21ab0001fb6 --cross-validation --k-folds 2 --output scenario_a_1 --verbosity 0
bigmler analyze --dataset dataset/58d86678663ac21ab30032c5 --features --k-folds 2 --output scenario_a_12 "--exclude-features=petal length,sepal length" --predictions-csv --verbosity 0
bigmler analyze --dataset dataset/58d866d67e0a8d21d500386f --features --k-folds 2 --output scenario_a_13 "--exclude-features=species,sepal length" --predictions-csv --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58d8677a663ac21ab3003338 --features --k-folds 2 --output scenario_a_14 "--exclude-features=petal length,sepal length" --predictions-csv --number-of-models 2 --verbosity 0
bigmler analyze --dataset dataset/58d867e0663ac21aaf001508 --features --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58d868267e0a8d21da00344f --features --k-folds 2 --output scenario_a_3 --optimize phi --verbosity 0
bigmler analyze --dataset dataset/58d8686a7e0a8d21d700142f --features --k-folds 2 --output scenario_a_5 --optimize r_squared --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58d868b07e0a8d21da003480 --features --k-folds 2 --output scenario_a_8 --optimize mean_squared_error --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58d868f87e0a8d21d40021af --features --k-folds 2 --output scenario_a_6 --optimize recall --objective species --verbosity 0
bigmler analyze --datasets scenario_a_4/dataset --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_4 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58d869b47e0a8d21da0034c4 --features --k-folds 2 --output scenario_a_7 --exclude-features "petal length!sepal width" --args-separator ! --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58d869fb7e0a8d21da0034da --features --k-folds 2 --output scenario_a_9 --optimize recall --optimize-category spam --verbosity 0
bigmler analyze --dataset dataset/58d86a207e0a8d21d40021de --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_10 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58d86aa1663ac21ab00020cd --random-fields --number_of_models 2 --k-folds 2 --output scenario_a_11 --optimize precision
bigmler analyze --dataset dataset/58d86ba6663ac21aab0036cf --features --dev --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58f4ad047e0a8d374c008f35 --cross-validation --k-folds 2 --output scenario_a_1 --verbosity 0
bigmler analyze --dataset dataset/58f4ad2c7e0a8d374b006c21 --features --k-folds 2 --output scenario_a_12 "--exclude-features=petal length,sepal length" --predictions-csv --verbosity 0
bigmler analyze --dataset dataset/58f4ad9c7e0a8d374c008f57 --features --k-folds 2 --output scenario_a_13 "--exclude-features=species,sepal length" --predictions-csv --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58f4ae5d663ac2366d006935 --features --k-folds 2 --output scenario_a_14 "--exclude-features=petal length,sepal length" --predictions-csv --number-of-models 2 --verbosity 0
bigmler analyze --dataset dataset/58f4aed9663ac2366800a3aa --features --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58f4af297e0a8d374f00a99d --features --k-folds 2 --output scenario_a_3 --optimize phi --verbosity 0
bigmler analyze --dataset dataset/58f4af767e0a8d374b006cab --features --k-folds 2 --output scenario_a_5 --optimize r_squared --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58f4afc4663ac23667008a09 --features --k-folds 2 --output scenario_a_8 --optimize mean_squared_error --objective 0 --verbosity 0
bigmler analyze --dataset dataset/58f4b0147e0a8d374f00a9ea --features --k-folds 2 --output scenario_a_6 --optimize recall --objective species --verbosity 0
bigmler analyze --datasets scenario_a_4/dataset --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_4 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58f4b0df663ac23667008a28 --features --k-folds 2 --output scenario_a_7 --exclude-features "petal length!sepal width" --args-separator ! --optimize accuracy --verbosity 0
bigmler analyze --dataset dataset/58f4b132663ac2366d006a0c --features --k-folds 2 --output scenario_a_9 --optimize recall --optimize-category spam --verbosity 0
bigmler analyze --dataset dataset/58f4b15e7e0a8d374a00427a --nodes --min-nodes 3 --max-nodes 14 --nodes-step 2 --k-folds 2 --output scenario_a_10 --optimize precision --verbosity 0
bigmler analyze --dataset dataset/58f4b1f07e0a8d374f00aa98 --random-fields --number_of_models 2 --k-folds 2 --output scenario_a_11 --optimize precision
bigmler analyze --dataset dataset/58f4b3307e0a8d374f00ab8e --features --dev --k-folds 2 --output scenario_a_2 --optimize accuracy --verbosity 0
