ServerRun 10422
Creatorfavre
Programminimalist-boost
Datasetletter-recognition
Task typeMulticlassClassification
Created6y160d ago
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Done! Flag_green
4m31s
94M
MulticlassClassification
0.107
0.142

Log file

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iteration:623 feature:6 threshold:5.5 min-objective:0.999783
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iteration:625 feature:8 threshold:3.5 min-objective:0.999769
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iteration:962 feature:10 threshold:6.5 min-objective:0.999902
iteration:963 feature:2 threshold:13.5 min-objective:0.999903
iteration:964 feature:14 threshold:8.5 min-objective:0.999906
iteration:965 feature:13 threshold:12.5 min-objective:0.999903
iteration:966 feature:1 threshold:2.5 min-objective:0.999912
iteration:967 feature:15 threshold:1.5 min-objective:0.999895
iteration:968 feature:9 threshold:1.5 min-objective:0.999899
iteration:969 feature:8 threshold:8.5 min-objective:0.999894
iteration:970 feature:9 threshold:2.5 min-objective:0.999902
iteration:971 feature:7 threshold:6.5 min-objective:0.999909
iteration:972 feature:6 threshold:7.5 min-objective:0.999903
iteration:973 feature:6 threshold:6.5 min-objective:0.999897
iteration:974 feature:11 threshold:8.5 min-objective:0.999909
iteration:975 feature:14 threshold:10.5 min-objective:0.999902
iteration:976 feature:11 threshold:2.5 min-objective:0.999906
iteration:977 feature:11 threshold:5.5 min-objective:0.999904
iteration:978 feature:15 threshold:8.5 min-objective:0.999909
iteration:979 feature:14 threshold:6.5 min-objective:0.99991
iteration:980 feature:8 threshold:6.5 min-objective:0.999902
iteration:981 feature:8 threshold:5.5 min-objective:0.999902
iteration:982 feature:10 threshold:5.5 min-objective:0.99991
iteration:983 feature:10 threshold:4.5 min-objective:0.999909
iteration:984 feature:2 threshold:6.5 min-objective:0.999907
iteration:985 feature:2 threshold:8.5 min-objective:0.999894
iteration:986 feature:5 threshold:10.5 min-objective:0.999897
iteration:987 feature:3 threshold:4.5 min-objective:0.999905
iteration:988 feature:4 threshold:4.5 min-objective:0.999893
iteration:989 feature:5 threshold:5.5 min-objective:0.999893
iteration:990 feature:1 threshold:6.5 min-objective:0.999904
iteration:991 feature:3 threshold:8.5 min-objective:0.999895
iteration:992 feature:5 threshold:11.5 min-objective:0.999888
iteration:993 feature:1 threshold:7.5 min-objective:0.999898
iteration:994 feature:15 threshold:3.5 min-objective:0.999906
iteration:995 feature:10 threshold:11.5 min-objective:0.999877
iteration:996 feature:10 threshold:9.5 min-objective:0.999893
iteration:997 feature:4 threshold:13.5 min-objective:0.999907
iteration:998 feature:5 threshold:6.5 min-objective:0.99991
iteration:999 feature:4 threshold:6.5 min-objective:0.999898
=== END program1: ./run learn ../dataset2/train --- OK [258s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [6s]
=== 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
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [2s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]


real	4m33.534s
user	1m41.790s
sys	0m0.852s

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