 | Run 14302 |
| Creator | internal |
| Program | minimalist-boost |
| Dataset | thyroid-0387 |
| Task type | MulticlassClassification |
| Created | 28d17h ago |
| Download | Login required! |
Done! 
| 2m37s | |
| 65M | |
| MulticlassClassification | |
| 2m26s | |
| 0.021 | |
| 2s | |
| 0.072 | |
| 1s |
Log file
... (lines omitted) ... iteration:622 feature:30 threshold:48.5 min-objective:0.999584 iteration:623 feature:30 threshold:42.5 min-objective:0.999702 iteration:624 feature:21 threshold:1.55 min-objective:0.99967 iteration:625 feature:33 threshold:36.5 min-objective:0.999721 iteration:626 feature:33 threshold:37.5 min-objective:0.99972 iteration:627 feature:21 threshold:3.85 min-objective:0.999732 iteration:628 feature:21 threshold:3.35 min-objective:0.99967 iteration:629 feature:21 threshold:3.15 min-objective:0.999553 iteration:630 feature:21 threshold:2.65 min-objective:0.999657 iteration:631 feature:24 threshold:87.5 min-objective:0.999731 iteration:632 feature:24 threshold:97.5 min-objective:0.999578 iteration:633 feature:24 threshold:138.5 min-objective:0.999638 iteration:634 feature:27 threshold:0.795 min-objective:0.999629 iteration:635 feature:30 threshold:173.5 min-objective:0.999662 iteration:636 feature:24 threshold:167.5 min-objective:0.999652 iteration:637 feature:30 threshold:197.5 min-objective:0.999669 iteration:638 feature:30 threshold:204.5 min-objective:0.999554 iteration:639 feature:30 threshold:197.5 min-objective:0.999646 iteration:640 feature:27 threshold:0.665 min-objective:0.999691 iteration:641 feature:27 threshold:0.725 min-objective:0.999669 iteration:642 feature:30 threshold:192.5 min-objective:0.999661 iteration:643 feature:30 threshold:177.5 min-objective:0.999621 iteration:644 feature:30 threshold:166.5 min-objective:0.999632 iteration:645 feature:24 threshold:121.5 min-objective:0.999651 iteration:646 feature:24 threshold:132.5 min-objective:0.999671 iteration:647 feature:18 threshold:1.55 min-objective:0.999667 iteration:648 feature:18 threshold:2.35 min-objective:0.999659 iteration:649 feature:24 threshold:203.5 min-objective:0.999688 iteration:650 feature:24 threshold:268.5 min-objective:0.999696 iteration:651 feature:27 threshold:1.295 min-objective:0.999712 iteration:652 feature:27 threshold:1.245 min-objective:0.999677 iteration:653 feature:27 threshold:1.195 min-objective:0.99962 iteration:654 feature:27 threshold:1.135 min-objective:0.999579 iteration:655 feature:27 threshold:1.205 min-objective:0.999664 iteration:656 feature:13 threshold:0 min-objective:0.999716 iteration:657 feature:27 threshold:1.385 min-objective:0.999711 iteration:658 feature:27 threshold:1.355 min-objective:0.99962 iteration:659 feature:27 threshold:1.385 min-objective:0.999681 iteration:660 feature:1 threshold:47.5 min-objective:0.999659 iteration:661 feature:1 threshold:70.5 min-objective:0.999665 iteration:662 feature:24 threshold:143.5 min-objective:0.999669 iteration:663 feature:30 threshold:105.5 min-objective:0.999685 iteration:664 feature:30 threshold:99.5 min-objective:0.9997 iteration:665 feature:30 threshold:67.5 min-objective:0.999654 iteration:666 feature:30 threshold:61.5 min-objective:0.999546 iteration:667 feature:30 threshold:63.5 min-objective:0.999613 iteration:668 feature:24 threshold:61.5 min-objective:0.999584 iteration:669 feature:18 threshold:6.05 min-objective:0.999651 iteration:670 feature:27 threshold:0.975 min-objective:0.999633 iteration:671 feature:21 threshold:1.15 min-objective:0.999654 iteration:672 feature:1 threshold:61.5 min-objective:0.99963 iteration:673 feature:27 threshold:0.955 min-objective:0.999673 iteration:674 feature:1 threshold:77.5 min-objective:0.99969 iteration:675 feature:30 threshold:335.5 min-objective:0.999709 iteration:676 feature:30 threshold:318.5 min-objective:0.999611 iteration:677 feature:24 threshold:220 min-objective:0.999485 iteration:678 feature:24 threshold:198.5 min-objective:0.99957 iteration:679 feature:24 threshold:192.5 min-objective:0.999674 iteration:680 feature:1 threshold:83.5 min-objective:0.999708 iteration:681 feature:1 threshold:86.5 min-objective:0.999553 iteration:682 feature:30 threshold:40.5 min-objective:0.999723 iteration:683 feature:30 threshold:114.5 min-objective:0.999724 iteration:684 feature:30 threshold:96.5 min-objective:0.999653 iteration:685 feature:30 threshold:66.5 min-objective:0.999695 iteration:686 feature:18 threshold:1.75 min-objective:0.999737 iteration:687 feature:18 threshold:1.35 min-objective:0.999582 iteration:688 feature:18 threshold:0.795 min-objective:0.99967 iteration:689 feature:18 threshold:1.17 min-objective:0.999684 iteration:690 feature:18 threshold:0.0875 min-objective:0.999707 iteration:691 feature:18 threshold:0.0525 min-objective:0.999695 iteration:692 feature:27 threshold:0.605 min-objective:0.999727 iteration:693 feature:27 threshold:0.485 min-objective:0.999681 iteration:694 feature:27 threshold:0.555 min-objective:0.999651 iteration:695 feature:27 threshold:0.685 min-objective:0.999656 iteration:696 feature:27 threshold:0.855 min-objective:0.999691 iteration:697 feature:1 threshold:72.5 min-objective:0.999717 iteration:698 feature:1 threshold:68.5 min-objective:0.999723 iteration:699 feature:30 threshold:67.5 min-objective:0.999724 iteration:700 feature:30 threshold:61.5 min-objective:0.999597 iteration:701 feature:30 threshold:58.5 min-objective:0.999624 iteration:702 feature:24 threshold:107.5 min-objective:0.999693 iteration:703 feature:30 threshold:123.5 min-objective:0.999636 iteration:704 feature:30 threshold:151.5 min-objective:0.999653 iteration:705 feature:18 threshold:0.0725 min-objective:0.999687 iteration:706 feature:18 threshold:0.1375 min-objective:0.999696 iteration:707 feature:18 threshold:0.385 min-objective:0.999679 iteration:708 feature:18 threshold:1.75 min-objective:0.999667 iteration:709 feature:30 threshold:175.5 min-objective:0.99971 iteration:710 feature:27 threshold:0.355 min-objective:0.999681 iteration:711 feature:24 threshold:231.5 min-objective:0.999705 iteration:712 feature:21 threshold:5.55 min-objective:0.999606 iteration:713 feature:21 threshold:5.45 min-objective:0.999634 iteration:714 feature:30 threshold:369.5 min-objective:0.999653 iteration:715 feature:24 threshold:51.5 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feature:24 threshold:255 min-objective:0.999683 iteration:732 feature:3 threshold:0 min-objective:0.99972 iteration:733 feature:8 threshold:0 min-objective:0.999747 iteration:734 feature:24 threshold:205.5 min-objective:0.999746 iteration:735 feature:24 threshold:156.5 min-objective:0.999727 iteration:736 feature:24 threshold:147.5 min-objective:0.999711 iteration:737 feature:21 threshold:2.85 min-objective:0.999726 iteration:738 feature:21 threshold:2.35 min-objective:0.999637 iteration:739 feature:24 threshold:320.5 min-objective:0.999743 iteration:740 feature:30 threshold:269 min-objective:0.99972 iteration:741 feature:18 threshold:5.55 min-objective:0.999685 iteration:742 feature:30 threshold:235 min-objective:0.99975 iteration:743 feature:21 threshold:7.85 min-objective:0.999737 iteration:744 feature:21 threshold:4.25 min-objective:0.999707 iteration:745 feature:30 threshold:191.5 min-objective:0.999735 iteration:746 feature:30 threshold:198.5 min-objective:0.999722 iteration:747 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iteration:779 feature:21 threshold:1.15 min-objective:0.999735 iteration:780 feature:21 threshold:1.45 min-objective:0.999693 iteration:781 feature:21 threshold:1.85 min-objective:0.999733 iteration:782 feature:27 threshold:0.525 min-objective:0.999734 iteration:783 feature:1 threshold:14.5 min-objective:0.999742 iteration:784 feature:1 threshold:16.5 min-objective:0.999668 iteration:785 feature:18 threshold:0.0075 min-objective:0.999731 iteration:786 feature:18 threshold:0.0175 min-objective:0.99968 iteration:787 feature:1 threshold:27.5 min-objective:0.999742 iteration:788 feature:1 threshold:44.5 min-objective:0.999715 iteration:789 feature:1 threshold:54.5 min-objective:0.99966 iteration:790 feature:30 threshold:169.5 min-objective:0.999727 iteration:791 feature:30 threshold:171.5 min-objective:0.999718 iteration:792 feature:30 threshold:145.5 min-objective:0.999666 iteration:793 feature:18 threshold:0.0775 min-objective:0.999664 iteration:794 feature:24 threshold:150.5 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feature:18 threshold:0.305 min-objective:0.999779 iteration:968 feature:21 threshold:3.25 min-objective:0.999775 iteration:969 feature:21 threshold:5.05 min-objective:0.999735 iteration:970 feature:30 threshold:206.5 min-objective:0.999778 iteration:971 feature:30 threshold:197.5 min-objective:0.999777 iteration:972 feature:30 threshold:192.5 min-objective:0.99974 iteration:973 feature:30 threshold:177.5 min-objective:0.99976 iteration:974 feature:30 threshold:166.5 min-objective:0.999759 iteration:975 feature:24 threshold:159.5 min-objective:0.999791 iteration:976 feature:24 threshold:173.5 min-objective:0.999676 iteration:977 feature:24 threshold:193.5 min-objective:0.999758 iteration:978 feature:24 threshold:198.5 min-objective:0.999742 iteration:979 feature:30 threshold:168.5 min-objective:0.99977 iteration:980 feature:30 threshold:182.5 min-objective:0.999767 iteration:981 feature:30 threshold:197.5 min-objective:0.999737 iteration:982 feature:30 threshold:212.5 min-objective:0.999772 iteration:983 feature:24 threshold:203.5 min-objective:0.999758 iteration:984 feature:27 threshold:1.425 min-objective:0.999794 iteration:985 feature:27 threshold:1.265 min-objective:0.999669 iteration:986 feature:27 threshold:0.825 min-objective:0.999757 iteration:987 feature:21 threshold:0.815 min-objective:0.999708 iteration:988 feature:21 threshold:0.75 min-objective:0.999744 iteration:989 feature:24 threshold:231.5 min-objective:0.999775 iteration:990 feature:24 threshold:205.5 min-objective:0.999709 iteration:991 feature:24 threshold:223.5 min-objective:0.999765 iteration:992 feature:18 threshold:0.0075 min-objective:0.999772 iteration:993 feature:30 threshold:175.5 min-objective:0.99978 iteration:994 feature:3 threshold:0 min-objective:0.999753 iteration:995 feature:24 threshold:108.5 min-objective:0.999757 iteration:996 feature:24 threshold:97.5 min-objective:0.999714 iteration:997 feature:30 threshold:145.5 min-objective:0.999732 iteration:998 feature:30 threshold:171.5 min-objective:0.999719 iteration:999 feature:30 threshold:67.5 min-objective:0.999766 === END program1: ./run learn ../dataset2/train --- OK [146s] ===== 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 [2s] === 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 [1s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s] real 2m39.258s user 2m35.186s sys 0m1.984s
Run specification 
Results
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