 | Run 27369 |
| Creator | favre |
| Program | minimalist-boost |
| Dataset | cemst-decision-prediction2-asr3 |
| Task type | MulticlassClassification |
| Created | 293d7h ago |
| Download | Login required! |
Done! 
| 2m42s | |
| 66M | |
| MulticlassClassification | |
| 2m32s | |
| 0.071 | |
| 2s | |
| 0.078 | |
| 0s |
Log file
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(lines omitted) ... iteration:622 feature:20 threshold:1629.99 min-objective:0.999821 iteration:623 feature:20 threshold:1700.16 min-objective:0.999832 iteration:624 feature:28 threshold:1.5 min-objective:0.999836 iteration:625 feature:26 threshold:155.5 min-objective:0.999801 iteration:626 feature:26 threshold:139.5 min-objective:0.999725 iteration:627 feature:23 threshold:0.396737 min-objective:0.999796 iteration:628 feature:23 threshold:0.477839 min-objective:0.999777 iteration:629 feature:26 threshold:149.5 min-objective:0.999774 iteration:630 feature:10 threshold:5.5 min-objective:0.999809 iteration:631 feature:17 threshold:5.5 min-objective:0.999844 iteration:632 feature:3 threshold:23.5 min-objective:0.999834 iteration:633 feature:23 threshold:0.949133 min-objective:0.999786 iteration:634 feature:23 threshold:0.921747 min-objective:0.999804 iteration:635 feature:26 threshold:277.5 min-objective:0.999826 iteration:636 feature:22 threshold:24.5 min-objective:0.999795 iteration:637 feature:39 threshold:0.338541 min-objective:0.999806 iteration:638 feature:39 threshold:0.309935 min-objective:0.99981 iteration:639 feature:35 threshold:5327.7 min-objective:0.999841 iteration:640 feature:6 threshold:12.5 min-objective:0.999858 iteration:641 feature:16 threshold:0.5 min-objective:0.99986 iteration:642 feature:23 threshold:0.868596 min-objective:0.999854 iteration:643 feature:23 threshold:0.821483 min-objective:0.999758 iteration:644 feature:19 threshold:7.57 min-objective:0.999772 iteration:645 feature:23 threshold:0.60556 min-objective:0.999824 iteration:646 feature:29 threshold:89.5 min-objective:0.999749 iteration:647 feature:3 threshold:10.5 min-objective:0.999763 iteration:648 feature:22 threshold:12.5 min-objective:0.999816 iteration:649 feature:35 threshold:1696.12 min-objective:0.99982 iteration:650 feature:22 threshold:18.5 min-objective:0.999827 iteration:651 feature:13 threshold:9.56625 min-objective:0.999835 iteration:652 feature:35 threshold:2976.77 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min-objective:0.999859 iteration:955 feature:20 threshold:1160.84 min-objective:0.999852 iteration:956 feature:20 threshold:1201.96 min-objective:0.999849 iteration:957 feature:20 threshold:1424.76 min-objective:0.999841 iteration:958 feature:23 threshold:0.201304 min-objective:0.999887 iteration:959 feature:23 threshold:0.180224 min-objective:0.999795 iteration:960 feature:23 threshold:0.193545 min-objective:0.999821 iteration:961 feature:19 threshold:3.255 min-objective:0.999835 iteration:962 feature:19 threshold:4.685 min-objective:0.99982 iteration:963 feature:19 threshold:5.525 min-objective:0.999763 iteration:964 feature:19 threshold:5.37 min-objective:0.999766 iteration:965 feature:19 threshold:5.525 min-objective:0.999792 iteration:966 feature:19 threshold:6.411 min-objective:0.999814 iteration:967 feature:26 threshold:139.5 min-objective:0.999851 iteration:968 feature:15 threshold:10.5 min-objective:0.999846 iteration:969 feature:23 threshold:0.319373 min-objective:0.999831 iteration:970 feature:23 threshold:0.262035 min-objective:0.999807 iteration:971 feature:39 threshold:0.743421 min-objective:0.999826 iteration:972 feature:20 threshold:1994.49 min-objective:0.999884 iteration:973 feature:20 threshold:2095.24 min-objective:0.999836 iteration:974 feature:20 threshold:2084.27 min-objective:0.999871 iteration:975 feature:20 threshold:2003.38 min-objective:0.999852 iteration:976 feature:20 threshold:1994.49 min-objective:0.999874 iteration:977 feature:20 threshold:1898.05 min-objective:0.999882 iteration:978 feature:20 threshold:1874.02 min-objective:0.999845 iteration:979 feature:20 threshold:1825.38 min-objective:0.999867 iteration:980 feature:20 threshold:1813.78 min-objective:0.999876 iteration:981 feature:20 threshold:1825.38 min-objective:0.999888 iteration:982 feature:20 threshold:1874.02 min-objective:0.999881 iteration:983 feature:20 threshold:1898.05 min-objective:0.999873 iteration:984 feature:17 threshold:1.5 min-objective:0.999892 iteration:985 feature:21 threshold:2.5 min-objective:0.999853 iteration:986 feature:15 threshold:7.5 min-objective:0.999885 iteration:987 feature:29 threshold:55.5 min-objective:0.999815 iteration:988 feature:23 threshold:0.396737 min-objective:0.999837 iteration:989 feature:19 threshold:5.885 min-objective:0.99983 iteration:990 feature:23 threshold:0.821483 min-objective:0.999837 iteration:991 feature:23 threshold:0.72675 min-objective:0.999822 iteration:992 feature:27 threshold:21.5 min-objective:0.999801 iteration:993 feature:26 threshold:191.5 min-objective:0.999826 iteration:994 feature:19 threshold:5.37 min-objective:0.999848 iteration:995 feature:23 threshold:0.319373 min-objective:0.999828 iteration:996 feature:35 threshold:482.481 min-objective:0.999833 iteration:997 feature:13 threshold:3.28036 min-objective:0.999839 iteration:998 feature:13 threshold:2.92191 min-objective:0.999839 iteration:999 feature:35 threshold:354.754 min-objective:0.999841 === END program1: ./run learn ../dataset2/train --- OK [152s] ===== 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 [2s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [2s] ===== 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 [1s] real 2m45.009s user 1m31.782s sys 0m4.100s
Run specification 
Results
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