 | Run 7987 |
| Creator | internal |
| Program | boostexter |
| Dataset | clinical_wsd |
| Task type | MulticlassClassification |
| Created | 1y122d ago |
| Download | Login required! |
Done! 
| 3h12m | |
| 314M | |
| MulticlassClassification | |
| 0.387 | |
| 0.429 | |
Log file
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0.039107 test= nan train= 0.4047674 rnd 847: wh-err= 0.999580 th-err= 0.039090 test= nan train= 0.4044854 rnd 848: wh-err= 0.999585 th-err= 0.039074 test= nan train= 0.4043196 rnd 849: wh-err= 0.999579 th-err= 0.039058 test= nan train= 0.4043527 rnd 850: wh-err= 0.999577 th-err= 0.039041 test= nan train= 0.4040044 rnd 851: wh-err= 0.999592 th-err= 0.039025 test= nan train= 0.4038385 rnd 852: wh-err= 0.999580 th-err= 0.039009 test= nan train= 0.4036229 rnd 853: wh-err= 0.999577 th-err= 0.038992 test= nan train= 0.4038053 rnd 854: wh-err= 0.999543 th-err= 0.038975 test= nan train= 0.4030423 rnd 855: wh-err= 0.999580 th-err= 0.038958 test= nan train= 0.4028930 rnd 856: wh-err= 0.999585 th-err= 0.038942 test= nan train= 0.4027437 rnd 857: wh-err= 0.999588 th-err= 0.038926 test= nan train= 0.4024617 rnd 858: wh-err= 0.999568 th-err= 0.038909 test= nan train= 0.4028100 rnd 859: wh-err= 0.999586 th-err= 0.038893 test= nan train= 0.4027271 rnd 860: wh-err= 0.999583 th-err= 0.038877 test= nan train= 0.4026442 rnd 861: wh-err= 0.999593 th-err= 0.038861 test= nan train= 0.4025446 rnd 862: wh-err= 0.999586 th-err= 0.038845 test= nan train= 0.4023787 rnd 863: wh-err= 0.999581 th-err= 0.038829 test= nan train= 0.4021465 rnd 864: wh-err= 0.999563 th-err= 0.038812 test= nan train= 0.4021299 rnd 865: wh-err= 0.999575 th-err= 0.038795 test= nan train= 0.4020470 rnd 866: wh-err= 0.999591 th-err= 0.038779 test= nan train= 0.4019640 rnd 867: wh-err= 0.999557 th-err= 0.038762 test= nan train= 0.4027271 rnd 868: wh-err= 0.999583 th-err= 0.038746 test= nan train= 0.4024617 rnd 869: wh-err= 0.999579 th-err= 0.038730 test= nan train= 0.4023953 rnd 870: wh-err= 0.999589 th-err= 0.038714 test= nan train= 0.4022792 rnd 871: wh-err= 0.999590 th-err= 0.038698 test= nan train= 0.4020636 rnd 872: wh-err= 0.999592 th-err= 0.038682 test= nan train= 0.4019972 rnd 873: wh-err= 0.999573 th-err= 0.038666 test= nan train= 0.4017816 rnd 874: wh-err= 0.999568 th-err= 0.038649 test= nan train= 0.4019474 rnd 875: wh-err= 0.999590 th-err= 0.038633 test= nan train= 0.4019143 rnd 876: wh-err= 0.999571 th-err= 0.038616 test= nan train= 0.4012342 rnd 877: wh-err= 0.999563 th-err= 0.038600 test= nan train= 0.4011015 rnd 878: wh-err= 0.999577 th-err= 0.038583 test= nan train= 0.4010185 rnd 879: wh-err= 0.999589 th-err= 0.038567 test= nan train= 0.4008029 rnd 880: wh-err= 0.999589 th-err= 0.038552 test= nan train= 0.4005375 rnd 881: wh-err= 0.999572 th-err= 0.038535 test= nan train= 0.4002720 rnd 882: wh-err= 0.999586 th-err= 0.038519 test= nan train= 0.4004048 rnd 883: wh-err= 0.999592 th-err= 0.038503 test= nan train= 0.4003384 rnd 884: wh-err= 0.999599 th-err= 0.038488 test= nan train= 0.4001891 rnd 885: wh-err= 0.999592 th-err= 0.038472 test= nan train= 0.4000896 rnd 886: wh-err= 0.999602 th-err= 0.038457 test= nan train= 0.3999735 rnd 887: wh-err= 0.999590 th-err= 0.038441 test= nan train= 0.3998076 rnd 888: wh-err= 0.999593 th-err= 0.038426 test= nan train= 0.3997412 rnd 889: wh-err= 0.999596 th-err= 0.038410 test= nan train= 0.3995919 rnd 890: wh-err= 0.999591 th-err= 0.038394 test= nan train= 0.3995588 rnd 891: wh-err= 0.999572 th-err= 0.038378 test= nan train= 0.3993265 rnd 892: wh-err= 0.999598 th-err= 0.038362 test= nan train= 0.3992602 rnd 893: wh-err= 0.999593 th-err= 0.038347 test= nan train= 0.3990777 rnd 894: wh-err= 0.999595 th-err= 0.038331 test= nan train= 0.3989284 rnd 895: wh-err= 0.999603 th-err= 0.038316 test= nan train= 0.3987128 rnd 896: wh-err= 0.999591 th-err= 0.038300 test= nan train= 0.3983644 rnd 897: wh-err= 0.999597 th-err= 0.038285 test= nan train= 0.3983146 rnd 898: wh-err= 0.999593 th-err= 0.038269 test= nan train= 0.3982649 rnd 899: wh-err= 0.999601 th-err= 0.038254 test= nan train= 0.3980658 rnd 900: wh-err= 0.999600 th-err= 0.038239 test= nan train= 0.3979829 rnd 901: wh-err= 0.999597 th-err= 0.038223 test= nan train= 0.3980326 rnd 902: wh-err= 0.999595 th-err= 0.038208 test= nan train= 0.3979165 rnd 903: wh-err= 0.999577 th-err= 0.038192 test= nan train= 0.3973857 rnd 904: wh-err= 0.999594 th-err= 0.038176 test= nan train= 0.3973525 rnd 905: wh-err= 0.999601 th-err= 0.038161 test= nan train= 0.3971369 rnd 906: wh-err= 0.999589 th-err= 0.038145 test= nan train= 0.3969544 rnd 907: wh-err= 0.999601 th-err= 0.038130 test= nan train= 0.3969544 rnd 908: wh-err= 0.999602 th-err= 0.038115 test= nan train= 0.3967719 rnd 909: wh-err= 0.999595 th-err= 0.038099 test= nan train= 0.3969710 rnd 910: wh-err= 0.999572 th-err= 0.038083 test= nan train= 0.3968549 rnd 911: wh-err= 0.999595 th-err= 0.038068 test= nan train= 0.3968549 rnd 912: wh-err= 0.999583 th-err= 0.038052 test= nan train= 0.3966558 rnd 913: wh-err= 0.999590 th-err= 0.038036 test= nan train= 0.3966392 rnd 914: wh-err= 0.999591 th-err= 0.038021 test= nan train= 0.3963075 rnd 915: wh-err= 0.999607 th-err= 0.038006 test= nan train= 0.3962079 rnd 916: wh-err= 0.999594 th-err= 0.037990 test= nan train= 0.3958928 rnd 917: wh-err= 0.999591 th-err= 0.037975 test= nan train= 0.3957103 rnd 918: wh-err= 0.999609 th-err= 0.037960 test= nan train= 0.3955444 rnd 919: wh-err= 0.999603 th-err= 0.037945 test= nan train= 0.3955776 rnd 920: wh-err= 0.999583 th-err= 0.037929 test= nan train= 0.3955278 rnd 921: wh-err= 0.999601 th-err= 0.037914 test= nan train= 0.3954947 rnd 922: wh-err= 0.999612 th-err= 0.037899 test= nan train= 0.3954283 rnd 923: wh-err= 0.999613 th-err= 0.037885 test= nan train= 0.3952458 rnd 924: wh-err= 0.999612 th-err= 0.037870 test= nan train= 0.3951131 rnd 925: wh-err= 0.999587 th-err= 0.037854 test= nan train= 0.3948643 rnd 926: wh-err= 0.999604 th-err= 0.037839 test= nan train= 0.3948975 rnd 927: wh-err= 0.999608 th-err= 0.037824 test= nan train= 0.3948809 rnd 928: wh-err= 0.999611 th-err= 0.037810 test= nan train= 0.3947648 rnd 929: wh-err= 0.999613 th-err= 0.037795 test= nan train= 0.3945491 rnd 930: wh-err= 0.999610 th-err= 0.037780 test= nan train= 0.3943833 rnd 931: wh-err= 0.999590 th-err= 0.037765 test= nan train= 0.3942837 rnd 932: wh-err= 0.999618 th-err= 0.037750 test= nan train= 0.3939188 rnd 933: wh-err= 0.999607 th-err= 0.037736 test= nan train= 0.3936866 rnd 934: wh-err= 0.999607 th-err= 0.037721 test= nan train= 0.3934543 rnd 935: wh-err= 0.999610 th-err= 0.037706 test= nan train= 0.3934709 rnd 936: wh-err= 0.999620 th-err= 0.037692 test= nan train= 0.3932718 rnd 937: wh-err= 0.999615 th-err= 0.037677 test= nan train= 0.3932718 rnd 938: wh-err= 0.999616 th-err= 0.037663 test= nan train= 0.3930894 rnd 939: wh-err= 0.999618 th-err= 0.037648 test= nan train= 0.3929235 rnd 940: wh-err= 0.999598 th-err= 0.037633 test= nan train= 0.3924922 rnd 941: wh-err= 0.999553 th-err= 0.037616 test= nan train= 0.3923429 rnd 942: wh-err= 0.999616 th-err= 0.037602 test= nan train= 0.3922434 rnd 943: wh-err= 0.999619 th-err= 0.037588 test= nan train= 0.3922268 rnd 944: wh-err= 0.999617 th-err= 0.037573 test= nan train= 0.3920775 rnd 945: wh-err= 0.999622 th-err= 0.037559 test= nan train= 0.3918950 rnd 946: wh-err= 0.999621 th-err= 0.037545 test= nan train= 0.3918619 rnd 947: wh-err= 0.999621 th-err= 0.037531 test= nan train= 0.3917789 rnd 948: wh-err= 0.999618 th-err= 0.037516 test= nan train= 0.3916462 rnd 949: wh-err= 0.999621 th-err= 0.037502 test= nan train= 0.3914306 rnd 950: wh-err= 0.999623 th-err= 0.037488 test= nan train= 0.3912315 rnd 951: wh-err= 0.999597 th-err= 0.037473 test= nan train= 0.3915467 rnd 952: wh-err= 0.999623 th-err= 0.037459 test= nan train= 0.3912979 rnd 953: wh-err= 0.999624 th-err= 0.037445 test= nan train= 0.3913144 rnd 954: wh-err= 0.999614 th-err= 0.037430 test= nan train= 0.3911652 rnd 955: wh-err= 0.999617 th-err= 0.037416 test= nan train= 0.3912315 rnd 956: wh-err= 0.999625 th-err= 0.037402 test= nan train= 0.3912315 rnd 957: wh-err= 0.999619 th-err= 0.037388 test= nan train= 0.3912149 rnd 958: wh-err= 0.999619 th-err= 0.037373 test= nan train= 0.3910324 rnd 959: wh-err= 0.999625 th-err= 0.037359 test= nan train= 0.3910490 rnd 960: wh-err= 0.999621 th-err= 0.037345 test= nan train= 0.3908666 rnd 961: wh-err= 0.999626 th-err= 0.037331 test= nan train= 0.3906675 rnd 962: wh-err= 0.999622 th-err= 0.037317 test= nan train= 0.3905680 rnd 963: wh-err= 0.999620 th-err= 0.037303 test= nan train= 0.3904684 rnd 964: wh-err= 0.999621 th-err= 0.037289 test= nan train= 0.3902528 rnd 965: wh-err= 0.999626 th-err= 0.037275 test= nan train= 0.3902528 rnd 966: wh-err= 0.999615 th-err= 0.037260 test= nan train= 0.3901035 rnd 967: wh-err= 0.999622 th-err= 0.037246 test= nan train= 0.3899874 rnd 968: wh-err= 0.999596 th-err= 0.037231 test= nan train= 0.3897386 rnd 969: wh-err= 0.999625 th-err= 0.037217 test= nan train= 0.3896390 rnd 970: wh-err= 0.999626 th-err= 0.037203 test= nan train= 0.3895063 rnd 971: wh-err= 0.999627 th-err= 0.037190 test= nan train= 0.3893073 rnd 972: wh-err= 0.999628 th-err= 0.037176 test= nan train= 0.3892243 rnd 973: wh-err= 0.999630 th-err= 0.037162 test= nan train= 0.3890419 rnd 974: wh-err= 0.999627 th-err= 0.037148 test= nan train= 0.3890419 rnd 975: wh-err= 0.999632 th-err= 0.037134 test= nan train= 0.3890585 rnd 976: wh-err= 0.999628 th-err= 0.037121 test= nan train= 0.3889589 rnd 977: wh-err= 0.999612 th-err= 0.037106 test= nan train= 0.3888926 rnd 978: wh-err= 0.999615 th-err= 0.037092 test= nan train= 0.3888262 rnd 979: wh-err= 0.999629 th-err= 0.037078 test= nan train= 0.3887433 rnd 980: wh-err= 0.999631 th-err= 0.037064 test= nan train= 0.3886106 rnd 981: wh-err= 0.999621 th-err= 0.037050 test= nan train= 0.3884447 rnd 982: wh-err= 0.999614 th-err= 0.037036 test= nan train= 0.3881793 rnd 983: wh-err= 0.999629 th-err= 0.037022 test= nan train= 0.3879802 rnd 984: wh-err= 0.999616 th-err= 0.037008 test= nan train= 0.3882290 rnd 985: wh-err= 0.999629 th-err= 0.036994 test= nan train= 0.3880632 rnd 986: wh-err= 0.999634 th-err= 0.036981 test= nan train= 0.3880798 rnd 987: wh-err= 0.999631 th-err= 0.036967 test= nan train= 0.3880963 rnd 988: wh-err= 0.999633 th-err= 0.036954 test= nan train= 0.3879139 rnd 989: wh-err= 0.999623 th-err= 0.036940 test= nan train= 0.3877646 rnd 990: wh-err= 0.999623 th-err= 0.036926 test= nan train= 0.3879305 rnd 991: wh-err= 0.999634 th-err= 0.036912 test= nan train= 0.3878641 rnd 992: wh-err= 0.999629 th-err= 0.036899 test= nan train= 0.3876319 rnd 993: wh-err= 0.999630 th-err= 0.036885 test= nan train= 0.3873831 rnd 994: wh-err= 0.999619 th-err= 0.036871 test= nan train= 0.3869849 rnd 995: wh-err= 0.999634 th-err= 0.036857 test= nan train= 0.3868688 rnd 996: wh-err= 0.999636 th-err= 0.036844 test= nan train= 0.3868688 rnd 997: wh-err= 0.999627 th-err= 0.036830 test= nan train= 0.3869683 rnd 998: wh-err= 0.999629 th-err= 0.036817 test= nan train= 0.3868854 rnd 999: wh-err= 0.999636 th-err= 0.036803 test= nan train= 0.3868854 rnd 1000: wh-err= 0.999626 th-err= 0.036789 test= nan train= 0.3869352 === END program1: ./run learn ../dataset2/train --- OK [11272s] ===== 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 [6s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out Copyright 2001 AT&T. All rights reserved. Test error = 60284.000000 / 60284 = 1.000000 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [164s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [7s] ===== 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 [3s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out Copyright 2001 AT&T. All rights reserved. Test error = 25836.000000 / 25836 = 1.000000 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [72s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [4s] real 192m8.121s user 82m38.334s sys 0m6.576s
Run specification 
Results
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