 | Run 11805 |
| Creator | duckworthd |
| Program | LogitBoost_weka_nominal |
| Dataset | synthetic-1000-7500-3-0.50 |
| Task type | MulticlassClassification |
| Created | 2y87d ago |
| Download | Login required! |
Done! 
| 5h47m | |
| 505M | |
| MulticlassClassification | |
| 0.332 | |
| 0.350 | |
Log file
./run:3: warning: parenthesize argument(s) for future version Note: Some input files use unchecked or unsafe operations. Note: Recompile with -Xlint:unchecked for details. MulticlassClassification ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset6/train === START program4: ./run split ../dataset6/train ../program1/cv.train ../program1/cv.test === END program4: ./run split ../dataset6/train ../program1/cv.train ../program1/cv.test --- OK [10s] ===== Cross-validator: trying hyperparameter 0.01 ===== === START _tune-hyperparameter0: ./run setHyperparameter 0.01 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter0: ./run setHyperparameter 0.01 --- OK [0s] === START _tune-hyperparameter0: ./run learn ../cv.train ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter0: ./run learn ../cv.train --- OK [3904s] === START _tune-hyperparameter0: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions0 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter0: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions0 --- OK [96s] === START program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions0 === END program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions0 --- OK [3s] CV error rate 0.356190476190476 with hyperparameter 0.01 ===== Cross-validator: trying hyperparameter 0.1 ===== === START _tune-hyperparameter1: ./run setHyperparameter 0.1 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter1: ./run setHyperparameter 0.1 --- OK [0s] === START _tune-hyperparameter1: ./run learn ../cv.train ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter1: ./run learn ../cv.train --- OK [3920s] === START _tune-hyperparameter1: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions1 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter1: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions1 --- OK [97s] === START program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions1 === END program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions1 --- OK [3s] CV error rate 0.356190476190476 with hyperparameter 0.1 ===== Cross-validator: trying hyperparameter 1.0 ===== === START _tune-hyperparameter2: ./run setHyperparameter 1.0 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter2: ./run setHyperparameter 1.0 --- OK [0s] === START _tune-hyperparameter2: ./run learn ../cv.train ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter2: ./run learn ../cv.train --- OK [3919s] === START _tune-hyperparameter2: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions2 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter2: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions2 --- OK [97s] === START program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions2 === END program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions2 --- OK [3s] CV error rate 0.356190476190476 with hyperparameter 1.0 ===== Cross-validator: trying hyperparameter 10.0 ===== === START _tune-hyperparameter3: ./run setHyperparameter 10.0 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter3: ./run setHyperparameter 10.0 --- OK [0s] === START _tune-hyperparameter3: ./run learn ../cv.train ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter3: ./run learn ../cv.train --- OK [3943s] === START _tune-hyperparameter3: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions3 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter3: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions3 --- OK [98s] === START program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions3 === END program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions3 --- OK [3s] CV error rate 0.356190476190476 with hyperparameter 10.0 ===== Cross-validator: trying hyperparameter 100.0 ===== === START _tune-hyperparameter4: ./run setHyperparameter 100.0 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter4: ./run setHyperparameter 100.0 --- OK [0s] === START _tune-hyperparameter4: ./run learn ../cv.train ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter4: ./run learn ../cv.train --- OK [3955s] === START _tune-hyperparameter4: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter4: ./run predict ../cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 --- OK [98s] === START program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 === END program5: ./run evaluate ../program1/cv.test /home/mlcomp/worker/scratch/program1/cvTestPredictions4 --- OK [3s] CV error rate 0.356190476190476 with hyperparameter 100.0 Best hyperparameter value is 0.01; got CV error rate 0.356190476190476 === END program1: ./run learn ../dataset6/train --- OK [20152s] ===== MAIN: predict/evaluate on train data ===== === START program7: ./run stripLabels ../dataset6/train ../program0/evalTrain.in === END program7: ./run stripLabels ../dataset6/train ../program0/evalTrain.in --- OK [9s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out === START _tune-hyperparameter-best: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter-best: ./run predict ../../program0/evalTrain.in ../../program0/evalTrain.out --- OK [484s] === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [484s] === START program8: ./run evaluate ../dataset6/train ../program0/evalTrain.out === END program8: ./run evaluate ../dataset6/train ../program0/evalTrain.out --- OK [8s] ===== MAIN: predict/evaluate on test data ===== === START program7: ./run stripLabels ../dataset6/test ../program0/evalTest.in === END program7: ./run stripLabels ../dataset6/test ../program0/evalTest.in --- OK [4s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out === START _tune-hyperparameter-best: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out ./run:3: warning: parenthesize argument(s) for future version MulticlassClassification === END _tune-hyperparameter-best: ./run predict ../../program0/evalTest.in ../../program0/evalTest.out --- OK [154s] === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [154s] === START program8: ./run evaluate ../dataset6/test ../program0/evalTest.out === END program8: ./run evaluate ../dataset6/test ../program0/evalTest.out --- OK [3s] real 347m6.417s user 146m26.161s sys 0m32.038s
Run specification 
Results
Must be logged in to post comments.