 | Run 16143 |
| Creator | emrah |
| Program | liblinear-s6-B1 |
| Dataset | train-47-plse-nonfirst-48-test |
| Task type | BinaryClassification |
| Created | 1y49d ago |
| Download | Login required! |
Done! 
| 16s | |
| 44M | |
| BinaryClassification | |
| 0.275 | |
| 0.281 | |
Log file
g++ -Wall -Wconversion -O3 -fPIC -c -o tron.o tron.cpp g++ -Wall -Wconversion -O3 -fPIC -c -o linear.o linear.cpp linear.cpp: In function ‘model* load_model(const char*)’: linear.cpp:1832:24: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp:1835:25: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp:1855:29: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp:1860:31: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp:1865:26: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp:1877:38: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp:1904:44: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp:1905:19: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result linear.cpp: In function ‘void train_one(const problem*, const parameter*, double*, double, double)’: linear.cpp:918:9: warning: ‘loss_old’ may be used uninitialized in this function linear.cpp:916:9: warning: ‘Gmax_init’ may be used uninitialized in this function linear.cpp:1196:9: warning: ‘Gmax_init’ may be used uninitialized in this function cd blas; make OPTFLAGS='-Wall -Wconversion -O3 -fPIC' CC='cc'; make[1]: Entering directory `/home/mlcomp/worker/scratch/program1/liblinear-1.51/blas' cc -Wall -Wconversion -O3 -fPIC -c dnrm2.c cc -Wall -Wconversion -O3 -fPIC -c daxpy.c cc -Wall -Wconversion -O3 -fPIC -c ddot.c cc -Wall -Wconversion -O3 -fPIC -c dscal.c ar rcv blas.a dnrm2.o daxpy.o ddot.o dscal.o a - dnrm2.o a - daxpy.o a - ddot.o a - dscal.o ranlib blas.a make[1]: Leaving directory `/home/mlcomp/worker/scratch/program1/liblinear-1.51/blas' g++ -Wall -Wconversion -O3 -fPIC -o train train.c tron.o linear.o blas/blas.a g++ -Wall -Wconversion -O3 -fPIC -o predict predict.c tron.o linear.o blas/blas.a ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train ... optimization finished, #iter = 39 Objective value = 5332.598929 #nonzeros/#features = 48/50 === END program1: ./run learn ../dataset2/train --- OK [7s] ===== MAIN: predict/evaluate on train data ===== === START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in === END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out Accuracy = 0% (0/9955) === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [1s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [1s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [0s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out Accuracy = 0% (0/9143) === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s] real 0m19.956s user 0m14.937s sys 0m1.356s
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