Status: Done!
Total Time
42m28s
Max Memory Usage
859M
Domain:
DocumentClassification
Learn time
Train error
0.020
Predict train time
Test error
0.171
Predict test time
Log file
... (lines omitted) ...
rnd 663: wh-err= 0.998140 th-err= 0.046081 dev= nan test= nan train= 0.177693
rnd 664: wh-err= 0.998158 th-err= 0.045996 dev= nan test= nan train= 0.177466
rnd 665: wh-err= 0.998153 th-err= 0.045911 dev= nan test= nan train= 0.176935
rnd 666: wh-err= 0.998132 th-err= 0.045826 dev= nan test= nan train= 0.176176
rnd 667: wh-err= 0.998147 th-err= 0.045741 dev= nan test= nan train= 0.175797
rnd 668: wh-err= 0.998144 th-err= 0.045656 dev= nan test= nan train= 0.175341
rnd 669: wh-err= 0.998145 th-err= 0.045571 dev= nan test= nan train= 0.174507
rnd 670: wh-err= 0.998152 th-err= 0.045487 dev= nan test= nan train= 0.174886
rnd 671: wh-err= 0.998160 th-err= 0.045403 dev= nan test= nan train= 0.174583
rnd 672: wh-err= 0.998111 th-err= 0.045317 dev= nan test= nan train= 0.173748
rnd 673: wh-err= 0.998127 th-err= 0.045232 dev= nan test= nan train= 0.173672
rnd 674: wh-err= 0.998139 th-err= 0.045148 dev= nan test= nan train= 0.172989
rnd 675: wh-err= 0.998147 th-err= 0.045065 dev= nan test= nan train= 0.173065
rnd 676: wh-err= 0.998161 th-err= 0.044982 dev= nan test= nan train= 0.172914
rnd 677: wh-err= 0.998172 th-err= 0.044900 dev= nan test= nan train= 0.172534
rnd 678: wh-err= 0.998169 th-err= 0.044817 dev= nan test= nan train= 0.172534
rnd 679: wh-err= 0.998124 th-err= 0.044733 dev= nan test= nan train= 0.172155
rnd 680: wh-err= 0.998186 th-err= 0.044652 dev= nan test= nan train= 0.171624
rnd 681: wh-err= 0.998184 th-err= 0.044571 dev= nan test= nan train= 0.171851
rnd 682: wh-err= 0.998152 th-err= 0.044489 dev= nan test= nan train= 0.171624
rnd 683: wh-err= 0.998166 th-err= 0.044407 dev= nan test= nan train= 0.171396
rnd 684: wh-err= 0.998153 th-err= 0.044325 dev= nan test= nan train= 0.170789
rnd 685: wh-err= 0.998145 th-err= 0.044243 dev= nan test= nan train= 0.170030
rnd 686: wh-err= 0.998145 th-err= 0.044161 dev= nan test= nan train= 0.169272
rnd 687: wh-err= 0.998147 th-err= 0.044079 dev= nan test= nan train= 0.168892
rnd 688: wh-err= 0.998168 th-err= 0.043998 dev= nan test= nan train= 0.168361
rnd 689: wh-err= 0.998152 th-err= 0.043917 dev= nan test= nan train= 0.168589
rnd 690: wh-err= 0.998153 th-err= 0.043836 dev= nan test= nan train= 0.167982
rnd 691: wh-err= 0.998155 th-err= 0.043755 dev= nan test= nan train= 0.167906
rnd 692: wh-err= 0.998178 th-err= 0.043675 dev= nan test= nan train= 0.167375
rnd 693: wh-err= 0.998185 th-err= 0.043596 dev= nan test= nan train= 0.166844
rnd 694: wh-err= 0.998187 th-err= 0.043517 dev= nan test= nan train= 0.166692
rnd 695: wh-err= 0.998185 th-err= 0.043438 dev= nan test= nan train= 0.166237
rnd 696: wh-err= 0.998188 th-err= 0.043359 dev= nan test= nan train= 0.165933
rnd 697: wh-err= 0.998196 th-err= 0.043281 dev= nan test= nan train= 0.166313
rnd 698: wh-err= 0.998189 th-err= 0.043203 dev= nan test= nan train= 0.165933
rnd 699: wh-err= 0.998180 th-err= 0.043124 dev= nan test= nan train= 0.165554
rnd 700: wh-err= 0.998185 th-err= 0.043046 dev= nan test= nan train= 0.166085
rnd 701: wh-err= 0.998195 th-err= 0.042968 dev= nan test= nan train= 0.165630
rnd 702: wh-err= 0.998208 th-err= 0.042891 dev= nan test= nan train= 0.164947
rnd 703: wh-err= 0.998179 th-err= 0.042813 dev= nan test= nan train= 0.164795
rnd 704: wh-err= 0.998176 th-err= 0.042735 dev= nan test= nan train= 0.164795
rnd 705: wh-err= 0.998178 th-err= 0.042657 dev= nan test= nan train= 0.164643
rnd 706: wh-err= 0.998114 th-err= 0.042576 dev= nan test= nan train= 0.164188
rnd 707: wh-err= 0.998200 th-err= 0.042500 dev= nan test= nan train= 0.164036
rnd 708: wh-err= 0.998144 th-err= 0.042421 dev= nan test= nan train= 0.163429
rnd 709: wh-err= 0.998197 th-err= 0.042344 dev= nan test= nan train= 0.162519
rnd 710: wh-err= 0.998111 th-err= 0.042264 dev= nan test= nan train= 0.162140
rnd 711: wh-err= 0.998186 th-err= 0.042188 dev= nan test= nan train= 0.161836
rnd 712: wh-err= 0.998215 th-err= 0.042112 dev= nan test= nan train= 0.161760
rnd 713: wh-err= 0.998211 th-err= 0.042037 dev= nan test= nan train= 0.161988
rnd 714: wh-err= 0.998211 th-err= 0.041962 dev= nan test= nan train= 0.161912
rnd 715: wh-err= 0.998185 th-err= 0.041886 dev= nan test= nan train= 0.161608
rnd 716: wh-err= 0.998202 th-err= 0.041810 dev= nan test= nan train= 0.161229
rnd 717: wh-err= 0.998198 th-err= 0.041735 dev= nan test= nan train= 0.161153
rnd 718: wh-err= 0.998173 th-err= 0.041659 dev= nan test= nan train= 0.160622
rnd 719: wh-err= 0.998142 th-err= 0.041582 dev= nan test= nan train= 0.160167
rnd 720: wh-err= 0.998151 th-err= 0.041505 dev= nan test= nan train= 0.160167
rnd 721: wh-err= 0.998133 th-err= 0.041427 dev= nan test= nan train= 0.159560
rnd 722: wh-err= 0.998216 th-err= 0.041353 dev= nan test= nan train= 0.158953
rnd 723: wh-err= 0.998182 th-err= 0.041278 dev= nan test= nan train= 0.158801
rnd 724: wh-err= 0.998186 th-err= 0.041203 dev= nan test= nan train= 0.158498
rnd 725: wh-err= 0.998183 th-err= 0.041128 dev= nan test= nan train= 0.157967
rnd 726: wh-err= 0.998205 th-err= 0.041055 dev= nan test= nan train= 0.157663
rnd 727: wh-err= 0.998185 th-err= 0.040980 dev= nan test= nan train= 0.156904
rnd 728: wh-err= 0.998227 th-err= 0.040907 dev= nan test= nan train= 0.157056
rnd 729: wh-err= 0.998052 th-err= 0.040828 dev= nan test= nan train= 0.157056
rnd 730: wh-err= 0.998121 th-err= 0.040751 dev= nan test= nan train= 0.157132
rnd 731: wh-err= 0.998139 th-err= 0.040675 dev= nan test= nan train= 0.156449
rnd 732: wh-err= 0.998182 th-err= 0.040601 dev= nan test= nan train= 0.156601
rnd 733: wh-err= 0.998184 th-err= 0.040527 dev= nan test= nan train= 0.155690
rnd 734: wh-err= 0.998195 th-err= 0.040454 dev= nan test= nan train= 0.155842
rnd 735: wh-err= 0.998181 th-err= 0.040381 dev= nan test= nan train= 0.156297
rnd 736: wh-err= 0.998148 th-err= 0.040306 dev= nan test= nan train= 0.155766
rnd 737: wh-err= 0.998183 th-err= 0.040233 dev= nan test= nan train= 0.155615
rnd 738: wh-err= 0.998169 th-err= 0.040159 dev= nan test= nan train= 0.155539
rnd 739: wh-err= 0.998162 th-err= 0.040085 dev= nan test= nan train= 0.154932
rnd 740: wh-err= 0.998104 th-err= 0.040009 dev= nan test= nan train= 0.154628
rnd 741: wh-err= 0.998202 th-err= 0.039937 dev= nan test= nan train= 0.154476
rnd 742: wh-err= 0.998183 th-err= 0.039865 dev= nan test= nan train= 0.153642
rnd 743: wh-err= 0.998205 th-err= 0.039793 dev= nan test= nan train= 0.153263
rnd 744: wh-err= 0.998204 th-err= 0.039722 dev= nan test= nan train= 0.152580
rnd 745: wh-err= 0.998202 th-err= 0.039650 dev= nan test= nan train= 0.152580
rnd 746: wh-err= 0.998203 th-err= 0.039579 dev= nan test= nan train= 0.152807
rnd 747: wh-err= 0.998213 th-err= 0.039508 dev= nan test= nan train= 0.152276
rnd 748: wh-err= 0.998138 th-err= 0.039435 dev= nan test= nan train= 0.151973
rnd 749: wh-err= 0.998210 th-err= 0.039364 dev= nan test= nan train= 0.151517
rnd 750: wh-err= 0.998169 th-err= 0.039292 dev= nan test= nan train= 0.151593
rnd 751: wh-err= 0.998149 th-err= 0.039219 dev= nan test= nan train= 0.150910
rnd 752: wh-err= 0.998039 th-err= 0.039142 dev= nan test= nan train= 0.150683
rnd 753: wh-err= 0.998211 th-err= 0.039072 dev= nan test= nan train= 0.150910
rnd 754: wh-err= 0.998217 th-err= 0.039003 dev= nan test= nan train= 0.150683
rnd 755: wh-err= 0.998229 th-err= 0.038934 dev= nan test= nan train= 0.150455
rnd 756: wh-err= 0.998233 th-err= 0.038865 dev= nan test= nan train= 0.150152
rnd 757: wh-err= 0.998237 th-err= 0.038796 dev= nan test= nan train= 0.150076
rnd 758: wh-err= 0.998221 th-err= 0.038727 dev= nan test= nan train= 0.149697
rnd 759: wh-err= 0.998145 th-err= 0.038655 dev= nan test= nan train= 0.149090
rnd 760: wh-err= 0.998177 th-err= 0.038585 dev= nan test= nan train= 0.149090
rnd 761: wh-err= 0.998237 th-err= 0.038517 dev= nan test= nan train= 0.148710
rnd 762: wh-err= 0.998237 th-err= 0.038449 dev= nan test= nan train= 0.148255
rnd 763: wh-err= 0.998241 th-err= 0.038381 dev= nan test= nan train= 0.147496
rnd 764: wh-err= 0.998216 th-err= 0.038313 dev= nan test= nan train= 0.147420
rnd 765: wh-err= 0.998216 th-err= 0.038245 dev= nan test= nan train= 0.147117
rnd 766: wh-err= 0.997988 th-err= 0.038168 dev= nan test= nan train= 0.146813
rnd 767: wh-err= 0.998195 th-err= 0.038099 dev= nan test= nan train= 0.146358
rnd 768: wh-err= 0.998188 th-err= 0.038030 dev= nan test= nan train= 0.146055
rnd 769: wh-err= 0.998215 th-err= 0.037962 dev= nan test= nan train= 0.145827
rnd 770: wh-err= 0.998193 th-err= 0.037893 dev= nan test= nan train= 0.145827
rnd 771: wh-err= 0.998178 th-err= 0.037824 dev= nan test= nan train= 0.145675
rnd 772: wh-err= 0.998208 th-err= 0.037756 dev= nan test= nan train= 0.145068
rnd 773: wh-err= 0.998223 th-err= 0.037689 dev= nan test= nan train= 0.145144
rnd 774: wh-err= 0.998227 th-err= 0.037623 dev= nan test= nan train= 0.144765
rnd 775: wh-err= 0.998234 th-err= 0.037556 dev= nan test= nan train= 0.144613
rnd 776: wh-err= 0.998216 th-err= 0.037489 dev= nan test= nan train= 0.144461
rnd 777: wh-err= 0.998224 th-err= 0.037423 dev= nan test= nan train= 0.144310
rnd 778: wh-err= 0.998245 th-err= 0.037357 dev= nan test= nan train= 0.144234
rnd 779: wh-err= 0.998149 th-err= 0.037288 dev= nan test= nan train= 0.144158
rnd 780: wh-err= 0.998232 th-err= 0.037222 dev= nan test= nan train= 0.144158
rnd 781: wh-err= 0.998185 th-err= 0.037154 dev= nan test= nan train= 0.143551
rnd 782: wh-err= 0.998222 th-err= 0.037088 dev= nan test= nan train= 0.143247
rnd 783: wh-err= 0.998224 th-err= 0.037022 dev= nan test= nan train= 0.143171
rnd 784: wh-err= 0.998234 th-err= 0.036957 dev= nan test= nan train= 0.142640
rnd 785: wh-err= 0.998213 th-err= 0.036891 dev= nan test= nan train= 0.142489
rnd 786: wh-err= 0.998190 th-err= 0.036824 dev= nan test= nan train= 0.140744
rnd 787: wh-err= 0.998182 th-err= 0.036757 dev= nan test= nan train= 0.140137
rnd 788: wh-err= 0.998030 th-err= 0.036685 dev= nan test= nan train= 0.140212
rnd 789: wh-err= 0.998168 th-err= 0.036617 dev= nan test= nan train= 0.139605
rnd 790: wh-err= 0.998152 th-err= 0.036550 dev= nan test= nan train= 0.138923
rnd 791: wh-err= 0.998204 th-err= 0.036484 dev= nan test= nan train= 0.138543
rnd 792: wh-err= 0.998210 th-err= 0.036419 dev= nan test= nan train= 0.138240
rnd 793: wh-err= 0.998200 th-err= 0.036353 dev= nan test= nan train= 0.137860
rnd 794: wh-err= 0.998216 th-err= 0.036288 dev= nan test= nan train= 0.137860
rnd 795: wh-err= 0.998231 th-err= 0.036224 dev= nan test= nan train= 0.138012
rnd 796: wh-err= 0.998228 th-err= 0.036160 dev= nan test= nan train= 0.137481
rnd 797: wh-err= 0.998242 th-err= 0.036097 dev= nan test= nan train= 0.137329
rnd 798: wh-err= 0.998237 th-err= 0.036033 dev= nan test= nan train= 0.137860
rnd 799: wh-err= 0.998221 th-err= 0.035969 dev= nan test= nan train= 0.137481
rnd 800: wh-err= 0.998230 th-err= 0.035905 dev= nan test= nan train= 0.136950
rnd 801: wh-err= 0.998220 th-err= 0.035841 dev= nan test= nan train= 0.136798
rnd 802: wh-err= 0.998223 th-err= 0.035777 dev= nan test= nan train= 0.136646
rnd 803: wh-err= 0.998235 th-err= 0.035714 dev= nan test= nan train= 0.136343
rnd 804: wh-err= 0.998234 th-err= 0.035651 dev= nan test= nan train= 0.135812
rnd 805: wh-err= 0.998231 th-err= 0.035588 dev= nan test= nan train= 0.135812
rnd 806: wh-err= 0.998156 th-err= 0.035523 dev= nan test= nan train= 0.135205
rnd 807: wh-err= 0.998203 th-err= 0.035459 dev= nan test= nan train= 0.135129
rnd 808: wh-err= 0.998202 th-err= 0.035395 dev= nan test= nan train= 0.134750
rnd 809: wh-err= 0.998206 th-err= 0.035331 dev= nan test= nan train= 0.134598
rnd 810: wh-err= 0.998233 th-err= 0.035269 dev= nan test= nan train= 0.134294
rnd 811: wh-err= 0.998228 th-err= 0.035207 dev= nan test= nan train= 0.133612
rnd 812: wh-err= 0.998218 th-err= 0.035144 dev= nan test= nan train= 0.133232
rnd 813: wh-err= 0.998225 th-err= 0.035081 dev= nan test= nan train= 0.133156
rnd 814: wh-err= 0.998222 th-err= 0.035019 dev= nan test= nan train= 0.133308
rnd 815: wh-err= 0.998233 th-err= 0.034957 dev= nan test= nan train= 0.132929
rnd 816: wh-err= 0.998206 th-err= 0.034894 dev= nan test= nan train= 0.132853
rnd 817: wh-err= 0.998201 th-err= 0.034832 dev= nan test= nan train= 0.132170
rnd 818: wh-err= 0.998227 th-err= 0.034770 dev= nan test= nan train= 0.131942
rnd 819: wh-err= 0.998225 th-err= 0.034708 dev= nan test= nan train= 0.132018
rnd 820: wh-err= 0.998217 th-err= 0.034646 dev= nan test= nan train= 0.131411
rnd 821: wh-err= 0.998222 th-err= 0.034585 dev= nan test= nan train= 0.131411
rnd 822: wh-err= 0.998217 th-err= 0.034523 dev= nan test= nan train= 0.131715
rnd 823: wh-err= 0.998165 th-err= 0.034460 dev= nan test= nan train= 0.131259
rnd 824: wh-err= 0.998176 th-err= 0.034397 dev= nan test= nan train= 0.130653
rnd 825: wh-err= 0.998189 th-err= 0.034335 dev= nan test= nan train= 0.130349
rnd 826: wh-err= 0.998037 th-err= 0.034267 dev= nan test= nan train= 0.130197
rnd 827: wh-err= 0.998207 th-err= 0.034206 dev= nan test= nan train= 0.130197
rnd 828: wh-err= 0.998185 th-err= 0.034144 dev= nan test= nan train= 0.129818
rnd 829: wh-err= 0.998182 th-err= 0.034082 dev= nan test= nan train= 0.129666
rnd 830: wh-err= 0.998192 th-err= 0.034020 dev= nan test= nan train= 0.129211
rnd 831: wh-err= 0.998161 th-err= 0.033957 dev= nan test= nan train= 0.128983
rnd 832: wh-err= 0.998167 th-err= 0.033895 dev= nan test= nan train= 0.128604
rnd 833: wh-err= 0.998168 th-err= 0.033833 dev= nan test= nan train= 0.128832
rnd 834: wh-err= 0.998195 th-err= 0.033772 dev= nan test= nan train= 0.128225
rnd 835: wh-err= 0.998143 th-err= 0.033709 dev= nan test= nan train= 0.127238
rnd 836: wh-err= 0.998172 th-err= 0.033648 dev= nan test= nan train= 0.126859
rnd 837: wh-err= 0.998162 th-err= 0.033586 dev= nan test= nan train= 0.126555
rnd 838: wh-err= 0.998188 th-err= 0.033525 dev= nan test= nan train= 0.126328
rnd 839: wh-err= 0.998200 th-err= 0.033465 dev= nan test= nan train= 0.125948
rnd 840: wh-err= 0.998212 th-err= 0.033405 dev= nan test= nan train= 0.125873
rnd 841: wh-err= 0.998211 th-err= 0.033345 dev= nan test= nan train= 0.125266
rnd 842: wh-err= 0.998209 th-err= 0.033285 dev= nan test= nan train= 0.125114
rnd 843: wh-err= 0.998197 th-err= 0.033225 dev= nan test= nan train= 0.125114
rnd 844: wh-err= 0.998207 th-err= 0.033166 dev= nan test= nan train= 0.124886
rnd 845: wh-err= 0.998201 th-err= 0.033106 dev= nan test= nan train= 0.124810
rnd 846: wh-err= 0.998217 th-err= 0.033047 dev= nan test= nan train= 0.124659
rnd 847: wh-err= 0.998223 th-err= 0.032988 dev= nan test= nan train= 0.124127
rnd 848: wh-err= 0.998225 th-err= 0.032930 dev= nan test= nan train= 0.123672
rnd 849: wh-err= 0.998132 th-err= 0.032868 dev= nan test= nan train= 0.123369
rnd 850: wh-err= 0.998169 th-err= 0.032808 dev= nan test= nan train= 0.123369
rnd 851: wh-err= 0.998180 th-err= 0.032748 dev= nan test= nan train= 0.123293
rnd 852: wh-err= 0.998196 th-err= 0.032689 dev= nan test= nan train= 0.122458
rnd 853: wh-err= 0.998150 th-err= 0.032629 dev= nan test= nan train= 0.121927
rnd 854: wh-err= 0.998198 th-err= 0.032570 dev= nan test= nan train= 0.121472
rnd 855: wh-err= 0.998192 th-err= 0.032511 dev= nan test= nan train= 0.121851
rnd 856: wh-err= 0.998173 th-err= 0.032452 dev= nan test= nan train= 0.121548
rnd 857: wh-err= 0.998186 th-err= 0.032393 dev= nan test= nan train= 0.121168
rnd 858: wh-err= 0.998223 th-err= 0.032335 dev= nan test= nan train= 0.120789
rnd 859: wh-err= 0.998225 th-err= 0.032278 dev= nan test= nan train= 0.120637
rnd 860: wh-err= 0.998207 th-err= 0.032220 dev= nan test= nan train= 0.120486
rnd 861: wh-err= 0.998221 th-err= 0.032163 dev= nan test= nan train= 0.120106
rnd 862: wh-err= 0.998193 th-err= 0.032104 dev= nan test= nan train= 0.119954
rnd 863: wh-err= 0.998216 th-err= 0.032047 dev= nan test= nan train= 0.119727
rnd 864: wh-err= 0.998200 th-err= 0.031989 dev= nan test= nan train= 0.119347
rnd 865: wh-err= 0.998224 th-err= 0.031933 dev= nan test= nan train= 0.118741
rnd 866: wh-err= 0.998227 th-err= 0.031876 dev= nan test= nan train= 0.118741
rnd 867: wh-err= 0.998239 th-err= 0.031820 dev= nan test= nan train= 0.118058
rnd 868: wh-err= 0.998242 th-err= 0.031764 dev= nan test= nan train= 0.117527
rnd 869: wh-err= 0.998193 th-err= 0.031707 dev= nan test= nan train= 0.117678
rnd 870: wh-err= 0.998231 th-err= 0.031651 dev= nan test= nan train= 0.117527
rnd 871: wh-err= 0.998237 th-err= 0.031595 dev= nan test= nan train= 0.117527
rnd 872: wh-err= 0.998234 th-err= 0.031539 dev= nan test= nan train= 0.116920
rnd 873: wh-err= 0.998234 th-err= 0.031483 dev= nan test= nan train= 0.116920
rnd 874: wh-err= 0.998104 th-err= 0.031424 dev= nan test= nan train= 0.115706
rnd 875: wh-err= 0.998176 th-err= 0.031366 dev= nan test= nan train= 0.115250
rnd 876: wh-err= 0.998167 th-err= 0.031309 dev= nan test= nan train= 0.115099
rnd 877: wh-err= 0.998191 th-err= 0.031252 dev= nan test= nan train= 0.114947
rnd 878: wh-err= 0.998175 th-err= 0.031195 dev= nan test= nan train= 0.114871
rnd 879: wh-err= 0.998205 th-err= 0.031139 dev= nan test= nan train= 0.114416
rnd 880: wh-err= 0.998176 th-err= 0.031082 dev= nan test= nan train= 0.114112
rnd 881: wh-err= 0.998080 th-err= 0.031023 dev= nan test= nan train= 0.113505
rnd 882: wh-err= 0.998220 th-err= 0.030967 dev= nan test= nan train= 0.113354
rnd 883: wh-err= 0.998212 th-err= 0.030912 dev= nan test= nan train= 0.113050
rnd 884: wh-err= 0.998206 th-err= 0.030857 dev= nan test= nan train= 0.113581
rnd 885: wh-err= 0.998204 th-err= 0.030801 dev= nan test= nan train= 0.113050
rnd 886: wh-err= 0.998236 th-err= 0.030747 dev= nan test= nan train= 0.112898
rnd 887: wh-err= 0.998208 th-err= 0.030692 dev= nan test= nan train= 0.112671
rnd 888: wh-err= 0.998231 th-err= 0.030637 dev= nan test= nan train= 0.112519
rnd 889: wh-err= 0.998233 th-err= 0.030583 dev= nan test= nan train= 0.111988
rnd 890: wh-err= 0.998220 th-err= 0.030529 dev= nan test= nan train= 0.111912
rnd 891: wh-err= 0.998226 th-err= 0.030475 dev= nan test= nan train= 0.111988
rnd 892: wh-err= 0.998229 th-err= 0.030421 dev= nan test= nan train= 0.111684
rnd 893: wh-err= 0.998241 th-err= 0.030367 dev= nan test= nan train= 0.111229
rnd 894: wh-err= 0.998245 th-err= 0.030314 dev= nan test= nan train= 0.111002
rnd 895: wh-err= 0.998227 th-err= 0.030260 dev= nan test= nan train= 0.111077
rnd 896: wh-err= 0.998227 th-err= 0.030206 dev= nan test= nan train= 0.110167
rnd 897: wh-err= 0.998237 th-err= 0.030153 dev= nan test= nan train= 0.109788
rnd 898: wh-err= 0.998262 th-err= 0.030101 dev= nan test= nan train= 0.109560
rnd 899: wh-err= 0.998251 th-err= 0.030048 dev= nan test= nan train= 0.109560
rnd 900: wh-err= 0.998254 th-err= 0.029996 dev= nan test= nan train= 0.108953
rnd 901: wh-err= 0.998220 th-err= 0.029942 dev= nan test= nan train= 0.108498
rnd 902: wh-err= 0.998224 th-err= 0.029889 dev= nan test= nan train= 0.108118
rnd 903: wh-err= 0.998228 th-err= 0.029836 dev= nan test= nan train= 0.107891
rnd 904: wh-err= 0.998099 th-err= 0.029779 dev= nan test= nan train= 0.107967
rnd 905: wh-err= 0.998234 th-err= 0.029727 dev= nan test= nan train= 0.107587
rnd 906: wh-err= 0.998233 th-err= 0.029674 dev= nan test= nan train= 0.107436
rnd 907: wh-err= 0.998222 th-err= 0.029622 dev= nan test= nan train= 0.107208
rnd 908: wh-err= 0.998133 th-err= 0.029566 dev= nan test= nan train= 0.106980
rnd 909: wh-err= 0.998240 th-err= 0.029514 dev= nan test= nan train= 0.106601
rnd 910: wh-err= 0.998234 th-err= 0.029462 dev= nan test= nan train= 0.106297
rnd 911: wh-err= 0.998171 th-err= 0.029408 dev= nan test= nan train= 0.105842
rnd 912: wh-err= 0.998233 th-err= 0.029356 dev= nan test= nan train= 0.105539
rnd 913: wh-err= 0.998233 th-err= 0.029304 dev= nan test= nan train= 0.105311
rnd 914: wh-err= 0.998248 th-err= 0.029253 dev= nan test= nan train= 0.104856
rnd 915: wh-err= 0.998258 th-err= 0.029202 dev= nan test= nan train= 0.104401
rnd 916: wh-err= 0.998261 th-err= 0.029151 dev= nan test= nan train= 0.104476
rnd 917: wh-err= 0.998175 th-err= 0.029098 dev= nan test= nan train= 0.104021
rnd 918: wh-err= 0.998257 th-err= 0.029047 dev= nan test= nan train= 0.104173
rnd 919: wh-err= 0.998269 th-err= 0.028997 dev= nan test= nan train= 0.103794
rnd 920: wh-err= 0.998269 th-err= 0.028947 dev= nan test= nan train= 0.103187
rnd 921: wh-err= 0.998264 th-err= 0.028897 dev= nan test= nan train= 0.103111
rnd 922: wh-err= 0.998191 th-err= 0.028844 dev= nan test= nan train= 0.103566
rnd 923: wh-err= 0.998152 th-err= 0.028791 dev= nan test= nan train= 0.102731
rnd 924: wh-err= 0.998217 th-err= 0.028740 dev= nan test= nan train= 0.102124
rnd 925: wh-err= 0.998240 th-err= 0.028689 dev= nan test= nan train= 0.101821
rnd 926: wh-err= 0.998263 th-err= 0.028639 dev= nan test= nan train= 0.101745
rnd 927: wh-err= 0.998259 th-err= 0.028589 dev= nan test= nan train= 0.101442
rnd 928: wh-err= 0.998265 th-err= 0.028540 dev= nan test= nan train= 0.100986
rnd 929: wh-err= 0.998175 th-err= 0.028488 dev= nan test= nan train= 0.100303
rnd 930: wh-err= 0.998255 th-err= 0.028438 dev= nan test= nan train= 0.099924
rnd 931: wh-err= 0.998228 th-err= 0.028388 dev= nan test= nan train= 0.099697
rnd 932: wh-err= 0.998209 th-err= 0.028337 dev= nan test= nan train= 0.099697
rnd 933: wh-err= 0.998241 th-err= 0.028287 dev= nan test= nan train= 0.099621
rnd 934: wh-err= 0.998261 th-err= 0.028238 dev= nan test= nan train= 0.099317
rnd 935: wh-err= 0.998263 th-err= 0.028189 dev= nan test= nan train= 0.099241
rnd 936: wh-err= 0.998261 th-err= 0.028140 dev= nan test= nan train= 0.099165
rnd 937: wh-err= 0.998261 th-err= 0.028091 dev= nan test= nan train= 0.098710
rnd 938: wh-err= 0.998267 th-err= 0.028042 dev= nan test= nan train= 0.098483
rnd 939: wh-err= 0.998267 th-err= 0.027994 dev= nan test= nan train= 0.098255
rnd 940: wh-err= 0.998232 th-err= 0.027944 dev= nan test= nan train= 0.098938
rnd 941: wh-err= 0.998265 th-err= 0.027896 dev= nan test= nan train= 0.098786
rnd 942: wh-err= 0.998259 th-err= 0.027847 dev= nan test= nan train= 0.097951
rnd 943: wh-err= 0.998253 th-err= 0.027798 dev= nan test= nan train= 0.096889
rnd 944: wh-err= 0.998240 th-err= 0.027749 dev= nan test= nan train= 0.097041
rnd 945: wh-err= 0.998239 th-err= 0.027701 dev= nan test= nan train= 0.097269
rnd 946: wh-err= 0.998238 th-err= 0.027652 dev= nan test= nan train= 0.097193
rnd 947: wh-err= 0.998251 th-err= 0.027603 dev= nan test= nan train= 0.096813
rnd 948: wh-err= 0.998256 th-err= 0.027555 dev= nan test= nan train= 0.096586
rnd 949: wh-err= 0.998236 th-err= 0.027507 dev= nan test= nan train= 0.096662
rnd 950: wh-err= 0.998278 th-err= 0.027459 dev= nan test= nan train= 0.096282
rnd 951: wh-err= 0.998270 th-err= 0.027412 dev= nan test= nan train= 0.096055
rnd 952: wh-err= 0.998201 th-err= 0.027362 dev= nan test= nan train= 0.095903
rnd 953: wh-err= 0.998197 th-err= 0.027313 dev= nan test= nan train= 0.095372
rnd 954: wh-err= 0.998271 th-err= 0.027266 dev= nan test= nan train= 0.095372
rnd 955: wh-err= 0.997993 th-err= 0.027211 dev= nan test= nan train= 0.095372
rnd 956: wh-err= 0.998272 th-err= 0.027164 dev= nan test= nan train= 0.094841
rnd 957: wh-err= 0.998260 th-err= 0.027117 dev= nan test= nan train= 0.094158
rnd 958: wh-err= 0.998279 th-err= 0.027070 dev= nan test= nan train= 0.094082
rnd 959: wh-err= 0.998258 th-err= 0.027023 dev= nan test= nan train= 0.093930
rnd 960: wh-err= 0.998154 th-err= 0.026973 dev= nan test= nan train= 0.093778
rnd 961: wh-err= 0.998256 th-err= 0.026926 dev= nan test= nan train= 0.093627
rnd 962: wh-err= 0.998258 th-err= 0.026879 dev= nan test= nan train= 0.093247
rnd 963: wh-err= 0.998264 th-err= 0.026833 dev= nan test= nan train= 0.093096
rnd 964: wh-err= 0.998258 th-err= 0.026786 dev= nan test= nan train= 0.092944
rnd 965: wh-err= 0.998277 th-err= 0.026740 dev= nan test= nan train= 0.093020
rnd 966: wh-err= 0.998281 th-err= 0.026694 dev= nan test= nan train= 0.092564
rnd 967: wh-err= 0.998270 th-err= 0.026648 dev= nan test= nan train= 0.092261
rnd 968: wh-err= 0.998281 th-err= 0.026602 dev= nan test= nan train= 0.091730
rnd 969: wh-err= 0.998284 th-err= 0.026556 dev= nan test= nan train= 0.091275
rnd 970: wh-err= 0.998275 th-err= 0.026510 dev= nan test= nan train= 0.090895
rnd 971: wh-err= 0.998273 th-err= 0.026465 dev= nan test= nan train= 0.091047
rnd 972: wh-err= 0.998260 th-err= 0.026418 dev= nan test= nan train= 0.090668
rnd 973: wh-err= 0.998259 th-err= 0.026372 dev= nan test= nan train= 0.090668
rnd 974: wh-err= 0.998283 th-err= 0.026327 dev= nan test= nan train= 0.090744
rnd 975: wh-err= 0.998283 th-err= 0.026282 dev= nan test= nan train= 0.090288
rnd 976: wh-err= 0.998272 th-err= 0.026237 dev= nan test= nan train= 0.089909
rnd 977: wh-err= 0.998264 th-err= 0.026191 dev= nan test= nan train= 0.089681
rnd 978: wh-err= 0.998269 th-err= 0.026146 dev= nan test= nan train= 0.089605
rnd 979: wh-err= 0.998212 th-err= 0.026099 dev= nan test= nan train= 0.089530
rnd 980: wh-err= 0.998247 th-err= 0.026053 dev= nan test= nan train= 0.088998
rnd 981: wh-err= 0.998244 th-err= 0.026007 dev= nan test= nan train= 0.088695
rnd 982: wh-err= 0.998217 th-err= 0.025961 dev= nan test= nan train= 0.088543
rnd 983: wh-err= 0.998236 th-err= 0.025915 dev= nan test= nan train= 0.087860
rnd 984: wh-err= 0.998166 th-err= 0.025868 dev= nan test= nan train= 0.087557
rnd 985: wh-err= 0.998158 th-err= 0.025820 dev= nan test= nan train= 0.087405
rnd 986: wh-err= 0.998223 th-err= 0.025774 dev= nan test= nan train= 0.087709
rnd 987: wh-err= 0.998234 th-err= 0.025729 dev= nan test= nan train= 0.087329
rnd 988: wh-err= 0.998239 th-err= 0.025683 dev= nan test= nan train= 0.087785
rnd 989: wh-err= 0.998212 th-err= 0.025638 dev= nan test= nan train= 0.087785
rnd 990: wh-err= 0.998247 th-err= 0.025593 dev= nan test= nan train= 0.087481
rnd 991: wh-err= 0.998245 th-err= 0.025548 dev= nan test= nan train= 0.087405
rnd 992: wh-err= 0.998247 th-err= 0.025503 dev= nan test= nan train= 0.087557
rnd 993: wh-err= 0.998201 th-err= 0.025457 dev= nan test= nan train= 0.087178
rnd 994: wh-err= 0.998250 th-err= 0.025412 dev= nan test= nan train= 0.087102
rnd 995: wh-err= 0.998248 th-err= 0.025368 dev= nan test= nan train= 0.086798
rnd 996: wh-err= 0.998249 th-err= 0.025323 dev= nan test= nan train= 0.086722
rnd 997: wh-err= 0.998250 th-err= 0.025279 dev= nan test= nan train= 0.086267
rnd 998: wh-err= 0.998248 th-err= 0.025235 dev= nan test= nan train= 0.086191
rnd 999: wh-err= 0.998266 th-err= 0.025191 dev= nan test= nan train= 0.085888
rnd 1000: wh-err= 0.998262 th-err= 0.025147 dev= nan test= nan train= 0.085508
=== END program1: ./run learn ../dataset2/train --- OK [2178s]
===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
Processing examples of label comp.windows.x...
Processing examples of label sci.electronics...
Processing examples of label comp.sys.ibm.pc.hardware...
Processing examples of label rec.sport.hockey...
Processing examples of label soc.religion.christian...
Processing examples of label misc.forsale...
Processing examples of label talk.politics.mideast...
Processing examples of label comp.sys.mac.hardware...
Processing examples of label comp.os.ms-windows.misc...
Processing examples of label rec.motorcycles...
Processing examples of label talk.religion.misc...
Processing examples of label rec.sport.baseball...
Processing examples of label talk.politics.guns...
Processing examples of label sci.crypt...
Processing examples of label alt.atheism...
Processing examples of label sci.space...
Processing examples of label comp.graphics...
Processing examples of label rec.autos...
Processing examples of label talk.politics.misc...
Processing examples of label sci.med...
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [31s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [229s]
=== 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
Processing examples of label comp.windows.x...
Processing examples of label sci.electronics...
Processing examples of label comp.sys.ibm.pc.hardware...
Processing examples of label rec.sport.hockey...
Processing examples of label soc.religion.christian...
Processing examples of label misc.forsale...
Processing examples of label talk.politics.mideast...
Processing examples of label comp.sys.mac.hardware...
Processing examples of label comp.os.ms-windows.misc...
Processing examples of label rec.motorcycles...
Processing examples of label talk.religion.misc...
Processing examples of label rec.sport.baseball...
Processing examples of label talk.politics.guns...
Processing examples of label sci.crypt...
Processing examples of label alt.atheism...
Processing examples of label sci.space...
Processing examples of label comp.graphics...
Processing examples of label rec.autos...
Processing examples of label talk.politics.misc...
Processing examples of label sci.med...
=== END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [11s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [103s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]
real 42m31.857s
user 40m5.410s
sys 1m9.232s
supervised-learning : Main entry for supervised learning for training and testing a program on a dataset.
(learner:Program) icsiboost-bigram : Adaboost on single-level deicision trees / tokenizer+stemmer+2gram bag-of-words
(dataset:Dataset) 20news-18828 : 20 newsgroups dataset for document classification (http://people.csail.mit.edu/jrennie/20Newsgroups)
(stripper:Program[Strip]) document-classification-utils : Inspects DocumentClassification datasets and evaluates DocumentClassification performance.
(evaluator:Program[Evaluate]) document-classification-utils : Inspects DocumentClassification datasets and evaluates DocumentClassification performance.
doTest:
evaluate:
errorRate: 0.170856940509915
numErrors: 965
numExamples: 5648
success: true
time: 0
predict:
strip:
doTrain:
evaluate:
errorRate: 0.0201062215477997
numErrors: 265
numExamples: 13180
success: true
time: 0
predict:
strip:
exitCode: 0
learn:
success: true
Comments:
Post comment:
Must be logged in to post comments.