ServerRun 38076
Creatorrichox
Programminimalist-boost
Datasetmaxgroup
Task typeMulticlassClassification
Created2y263d ago
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Done! Flag_green
25s
76M
MulticlassClassification
15s
0.006
0s
0.108
0s

Log file

... (lines omitted) ...
iteration:622 feature:2 threshold:0.9685 min-objective:0.99956
iteration:623 feature:10 threshold:0.9015 min-objective:0.99954
iteration:624 feature:9 threshold:0.8755 min-objective:0.999535
iteration:625 feature:9 threshold:0.9865 min-objective:0.999515
iteration:626 feature:6 threshold:0.0025 min-objective:0.999521
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iteration:943 feature:3 threshold:0.9205 min-objective:0.999585
iteration:944 feature:3 threshold:0.8735 min-objective:0.999525
iteration:945 feature:15 threshold:0.5565 min-objective:0.999616
iteration:946 feature:15 threshold:0.8035 min-objective:0.999621
iteration:947 feature:15 threshold:0.9595 min-objective:0.999617
iteration:948 feature:4 threshold:0.9635 min-objective:0.999625
iteration:949 feature:4 threshold:0.9965 min-objective:0.999609
iteration:950 feature:4 threshold:0.9975 min-objective:0.999583
iteration:951 feature:6 threshold:0.2045 min-objective:0.999641
iteration:952 feature:3 threshold:0.0555 min-objective:0.999602
iteration:953 feature:3 threshold:0.0295 min-objective:0.999629
iteration:954 feature:9 threshold:0.7485 min-objective:0.999657
iteration:955 feature:5 threshold:0.1065 min-objective:0.99963
iteration:956 feature:5 threshold:0.1665 min-objective:0.999595
iteration:957 feature:2 threshold:0.9845 min-objective:0.999646
iteration:958 feature:5 threshold:0.2115 min-objective:0.999648
iteration:959 feature:11 threshold:0.9765 min-objective:0.999638
iteration:960 feature:11 threshold:0.9605 min-objective:0.99961
iteration:961 feature:6 threshold:0.6105 min-objective:0.999646
iteration:962 feature:7 threshold:0.4155 min-objective:0.99962
iteration:963 feature:8 threshold:0.4505 min-objective:0.99964
iteration:964 feature:9 threshold:0.4775 min-objective:0.999613
iteration:965 feature:4 threshold:0.1625 min-objective:0.999627
iteration:966 feature:4 threshold:0.0645 min-objective:0.999552
iteration:967 feature:9 threshold:0.5205 min-objective:0.999617
iteration:968 feature:9 threshold:0.6285 min-objective:0.999588
iteration:969 feature:5 threshold:0.9785 min-objective:0.999616
iteration:970 feature:5 threshold:0.0515 min-objective:0.999602
iteration:971 feature:10 threshold:0.0245 min-objective:0.99964
iteration:972 feature:10 threshold:0.0145 min-objective:0.999606
iteration:973 feature:10 threshold:0.0095 min-objective:0.999616
iteration:974 feature:7 threshold:0.1305 min-objective:0.999646
iteration:975 feature:10 threshold:0.5215 min-objective:0.999641
iteration:976 feature:11 threshold:0.0585 min-objective:0.999652
iteration:977 feature:11 threshold:0.0325 min-objective:0.999567
iteration:978 feature:1 threshold:0.4455 min-objective:0.999653
iteration:979 feature:7 threshold:0.0235 min-objective:0.99966
iteration:980 feature:7 threshold:0.0135 min-objective:0.999327
iteration:981 feature:11 threshold:0.0455 min-objective:0.999653
iteration:982 feature:11 threshold:0.0795 min-objective:0.999591
iteration:983 feature:11 threshold:0.1635 min-objective:0.999577
iteration:984 feature:11 threshold:0.1375 min-objective:0.999553
iteration:985 feature:11 threshold:0.1745 min-objective:0.999633
iteration:986 feature:11 threshold:0.2545 min-objective:0.999598
iteration:987 feature:12 threshold:0.1225 min-objective:0.999659
iteration:988 feature:3 threshold:0.6595 min-objective:0.999653
iteration:989 feature:7 threshold:0.0145 min-objective:0.999659
iteration:990 feature:1 threshold:0.6145 min-objective:0.999646
iteration:991 feature:14 threshold:0.8955 min-objective:0.999666
iteration:992 feature:5 threshold:0.0435 min-objective:0.999674
iteration:993 feature:2 threshold:0.588 min-objective:0.999633
iteration:994 feature:2 threshold:0.1325 min-objective:0.999622
iteration:995 feature:3 threshold:0.7605 min-objective:0.999624
iteration:996 feature:12 threshold:0.7225 min-objective:0.999642
iteration:997 feature:12 threshold:0.6555 min-objective:0.999589
iteration:998 feature:3 threshold:0.0015 min-objective:0.999671
iteration:999 feature:13 threshold:0.4095 min-objective:0.999671
=== END program1: ./run learn ../dataset2/train --- OK [15s]

===== 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
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s]

===== 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 [0s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	0m26.653s
user	0m21.901s
sys	0m1.520s

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