ServerRun 11214
Creatorfavre
Programsvm-hmm
Datasetpos-conll2000
Task typeSequenceTagging
Created6y290d ago
DownloadLogin required!
Done! Flag_green
21m38s
421M
SequenceTagging
0.987
0
0.975
0

Log file

... (lines omitted) ...
Iter 360: *(NumConst=122, SV=68, CEps=0.1695, QPEps=0.0834)
Iter 361: *(NumConst=123, SV=69, CEps=0.1844, QPEps=0.0814)
Iter 362: *(NumConst=123, SV=67, CEps=0.1391, QPEps=0.0656)
Iter 363: *(NumConst=124, SV=67, CEps=0.2500, QPEps=0.0682)
Iter 364: *(NumConst=123, SV=68, CEps=0.1673, QPEps=0.0692)
Iter 365: *(NumConst=121, SV=67, CEps=0.1679, QPEps=0.0642)
Iter 366: *(NumConst=122, SV=69, CEps=0.1610, QPEps=0.0604)
Iter 367: *(NumConst=123, SV=69, CEps=0.1410, QPEps=0.0683)
Iter 368: *(NumConst=124, SV=69, CEps=0.1757, QPEps=0.0665)
Iter 369: *(NumConst=125, SV=70, CEps=0.1384, QPEps=0.0684)
Iter 370: *(NumConst=124, SV=72, CEps=0.1494, QPEps=0.0676)
Iter 371: *(NumConst=121, SV=73, CEps=0.1648, QPEps=0.0612)
Iter 372: *(NumConst=121, SV=71, CEps=0.1527, QPEps=0.0684)
Iter 373: *(NumConst=121, SV=71, CEps=0.1426, QPEps=0.0679)
Iter 374: *(NumConst=121, SV=72, CEps=0.1252, QPEps=0.0599)
Iter 375: *(NumConst=121, SV=73, CEps=0.1216, QPEps=0.0605)
Iter 376: *(NumConst=120, SV=74, CEps=0.1221, QPEps=0.0573)
Iter 377: .........*(NumConst=117, SV=75, CEps=0.7824, QPEps=0.3271)
Iter 378: *(NumConst=116, SV=78, CEps=0.7669, QPEps=0.2763)
Iter 379: *(NumConst=114, SV=80, CEps=0.7682, QPEps=0.3702)
Iter 380: *(NumConst=115, SV=79, CEps=0.5986, QPEps=0.2916)
Iter 381: *(NumConst=116, SV=81, CEps=0.5533, QPEps=0.2711)
Iter 382: *(NumConst=115, SV=79, CEps=0.6238, QPEps=0.2755)
Iter 383: *(NumConst=116, SV=79, CEps=0.5321, QPEps=0.2650)
Iter 384: *(NumConst=116, SV=82, CEps=0.4094, QPEps=0.1955)
Iter 385: *(NumConst=117, SV=81, CEps=0.6573, QPEps=0.1555)
Iter 386: *(NumConst=116, SV=78, CEps=0.5084, QPEps=0.1980)
Iter 387: *(NumConst=114, SV=75, CEps=0.5238, QPEps=0.2005)
Iter 388: *(NumConst=115, SV=74, CEps=0.5252, QPEps=0.1924)
Iter 389: *(NumConst=116, SV=77, CEps=0.4499, QPEps=0.2037)
Iter 390: *(NumConst=115, SV=76, CEps=0.3741, QPEps=0.1823)
Iter 391: *(NumConst=116, SV=76, CEps=0.5131, QPEps=0.1608)
Iter 392: *(NumConst=116, SV=75, CEps=0.3826, QPEps=0.1722)
Iter 393: *(NumConst=117, SV=75, CEps=0.3854, QPEps=0.1633)
Iter 394: *(NumConst=118, SV=75, CEps=0.4251, QPEps=0.1802)
Iter 395: *(NumConst=118, SV=76, CEps=0.3845, QPEps=0.1797)
Iter 396: *(NumConst=119, SV=75, CEps=0.4098, QPEps=0.1539)
Iter 397: *(NumConst=120, SV=75, CEps=0.3817, QPEps=0.1454)
Iter 398: *(NumConst=121, SV=77, CEps=0.3486, QPEps=0.1609)
Iter 399: *(NumConst=122, SV=75, CEps=0.4447, QPEps=0.1656)
Iter 400: *(NumConst=122, SV=77, CEps=0.3484, QPEps=0.1639)
Iter 401: *(NumConst=122, SV=77, CEps=0.4355, QPEps=0.1718)
Iter 402: *(NumConst=123, SV=78, CEps=0.3567, QPEps=0.1739)
Iter 403: *(NumConst=123, SV=73, CEps=0.2382, QPEps=0.1183)
Iter 404: *(NumConst=124, SV=71, CEps=0.3641, QPEps=0.1111)
Iter 405: *(NumConst=125, SV=69, CEps=0.2592, QPEps=0.0927)
Iter 406: *(NumConst=126, SV=69, CEps=0.3980, QPEps=0.1153)
Iter 407: *(NumConst=126, SV=71, CEps=0.2930, QPEps=0.1129)
Iter 408: *(NumConst=127, SV=68, CEps=0.4595, QPEps=0.1127)
Iter 409: *(NumConst=128, SV=69, CEps=0.3363, QPEps=0.1187)
Iter 410: *(NumConst=129, SV=68, CEps=0.2128, QPEps=0.1037)
Iter 411: *(NumConst=129, SV=67, CEps=0.2963, QPEps=0.1061)
Iter 412: *(NumConst=129, SV=69, CEps=0.3060, QPEps=0.1041)
Iter 413: *(NumConst=129, SV=70, CEps=0.2819, QPEps=0.1060)
Iter 414: *(NumConst=129, SV=64, CEps=0.2636, QPEps=0.1000)
Iter 415: *(NumConst=130, SV=66, CEps=0.2845, QPEps=0.0960)
Iter 416: *(NumConst=130, SV=67, CEps=0.2923, QPEps=0.1007)
Iter 417: *(NumConst=130, SV=62, CEps=0.2941, QPEps=0.1044)
Iter 418: *(NumConst=131, SV=63, CEps=0.2104, QPEps=0.0929)
Iter 419: *(NumConst=132, SV=64, CEps=0.2522, QPEps=0.1038)
Iter 420: *(NumConst=133, SV=64, CEps=0.2484, QPEps=0.1015)
Iter 421: *(NumConst=134, SV=65, CEps=0.2163, QPEps=0.1019)
Iter 422: *(NumConst=135, SV=65, CEps=0.3092, QPEps=0.0997)
Iter 423: *(NumConst=136, SV=64, CEps=0.2575, QPEps=0.0764)
Iter 424: *(NumConst=137, SV=64, CEps=0.2113, QPEps=0.1041)
Iter 425: *(NumConst=136, SV=67, CEps=0.1780, QPEps=0.0884)
Iter 426: *(NumConst=137, SV=64, CEps=0.1795, QPEps=0.0883)
Iter 427: *(NumConst=137, SV=64, CEps=0.2598, QPEps=0.0860)
Iter 428: *(NumConst=137, SV=65, CEps=0.1943, QPEps=0.0795)
Iter 429: *(NumConst=137, SV=64, CEps=0.1856, QPEps=0.0826)
Iter 430: *(NumConst=138, SV=65, CEps=0.2050, QPEps=0.0885)
Iter 431: *(NumConst=138, SV=66, CEps=0.1811, QPEps=0.0780)
Iter 432: *(NumConst=138, SV=66, CEps=0.1764, QPEps=0.0863)
Iter 433: *(NumConst=137, SV=67, CEps=0.1756, QPEps=0.0760)
Iter 434: *(NumConst=138, SV=68, CEps=0.1636, QPEps=0.0816)
Iter 435: *(NumConst=134, SV=68, CEps=0.1722, QPEps=0.0717)
Iter 436: *(NumConst=129, SV=69, CEps=0.1217, QPEps=0.0598)
Iter 437: *(NumConst=129, SV=70, CEps=0.1850, QPEps=0.0596)
Iter 438: *(NumConst=130, SV=70, CEps=0.1483, QPEps=0.0594)
Iter 439: *(NumConst=130, SV=71, CEps=0.1790, QPEps=0.0583)
Iter 440: *(NumConst=129, SV=72, CEps=0.1480, QPEps=0.0595)
Iter 441: *(NumConst=128, SV=72, CEps=0.1776, QPEps=0.0567)
Iter 442: *(NumConst=129, SV=73, CEps=0.1519, QPEps=0.0555)
Iter 443: *(NumConst=129, SV=73, CEps=0.1527, QPEps=0.0581)
Iter 444: *(NumConst=130, SV=72, CEps=0.1427, QPEps=0.0607)
Iter 445: *(NumConst=130, SV=73, CEps=0.1430, QPEps=0.0568)
Iter 446: *(NumConst=131, SV=73, CEps=0.1647, QPEps=0.0606)
Iter 447: *(NumConst=131, SV=73, CEps=0.1376, QPEps=0.0605)
Iter 448: *(NumConst=129, SV=75, CEps=0.1379, QPEps=0.0603)
Iter 449: *(NumConst=129, SV=75, CEps=0.1431, QPEps=0.0507)
Iter 450: *(NumConst=129, SV=75, CEps=0.1228, QPEps=0.0602)
Iter 451: *(NumConst=129, SV=76, CEps=0.1713, QPEps=0.0575)
Iter 452: *(NumConst=127, SV=75, CEps=0.1311, QPEps=0.0580)
Iter 453: *(NumConst=127, SV=76, CEps=0.1173, QPEps=0.0432)
Iter 454: *(NumConst=125, SV=77, CEps=0.1321, QPEps=0.0564)
Iter 455: *(NumConst=125, SV=77, CEps=0.1222, QPEps=0.0574)
Iter 456: *(NumConst=122, SV=77, CEps=0.1212, QPEps=0.0532)
Iter 457: *(NumConst=119, SV=77, CEps=0.1082, QPEps=0.0500)
Iter 458: *(NumConst=120, SV=76, CEps=0.1330, QPEps=0.0487)
Iter 459: .........*(NumConst=119, SV=81, CEps=0.5164, QPEps=0.2196)
Iter 460: *(NumConst=120, SV=80, CEps=0.5881, QPEps=0.2306)
Iter 461: *(NumConst=121, SV=85, CEps=0.4325, QPEps=0.2082)
Iter 462: *(NumConst=121, SV=83, CEps=0.3812, QPEps=0.1789)
Iter 463: *(NumConst=118, SV=82, CEps=0.5428, QPEps=0.1620)
Iter 464: *(NumConst=119, SV=84, CEps=0.3869, QPEps=0.1885)
Iter 465: *(NumConst=119, SV=83, CEps=0.4211, QPEps=0.1873)
Iter 466: *(NumConst=116, SV=81, CEps=0.3989, QPEps=0.1891)
Iter 467: *(NumConst=116, SV=80, CEps=0.3676, QPEps=0.1494)
Iter 468: *(NumConst=116, SV=81, CEps=0.3780, QPEps=0.1829)
Iter 469: *(NumConst=117, SV=81, CEps=0.3762, QPEps=0.1667)
Iter 470: *(NumConst=117, SV=84, CEps=0.3230, QPEps=0.1613)
Iter 471: *(NumConst=117, SV=86, CEps=0.3291, QPEps=0.1609)
Iter 472: *(NumConst=117, SV=84, CEps=0.2927, QPEps=0.1447)
Iter 473: *(NumConst=117, SV=84, CEps=0.3703, QPEps=0.1452)
Iter 474: *(NumConst=118, SV=81, CEps=0.2926, QPEps=0.1459)
Iter 475: *(NumConst=117, SV=81, CEps=0.3055, QPEps=0.1456)
Iter 476: *(NumConst=117, SV=81, CEps=0.2891, QPEps=0.1366)
Iter 477: *(NumConst=118, SV=82, CEps=0.3161, QPEps=0.1357)
Iter 478: *(NumConst=118, SV=82, CEps=0.2678, QPEps=0.1322)
Iter 479: *(NumConst=119, SV=83, CEps=0.2665, QPEps=0.1314)
Iter 480: *(NumConst=120, SV=82, CEps=0.2113, QPEps=0.1047)
Iter 481: *(NumConst=120, SV=80, CEps=0.3271, QPEps=0.1038)
Iter 482: *(NumConst=121, SV=80, CEps=0.2780, QPEps=0.1013)
Iter 483: *(NumConst=121, SV=81, CEps=0.2212, QPEps=0.1012)
Iter 484: *(NumConst=122, SV=80, CEps=0.2925, QPEps=0.0972)
Iter 485: *(NumConst=123, SV=78, CEps=0.2601, QPEps=0.1050)
Iter 486: *(NumConst=124, SV=77, CEps=0.2733, QPEps=0.0814)
Iter 487: *(NumConst=125, SV=77, CEps=0.2356, QPEps=0.1028)
Iter 488: *(NumConst=126, SV=77, CEps=0.2396, QPEps=0.1037)
Iter 489: *(NumConst=127, SV=79, CEps=0.2218, QPEps=0.1026)
Iter 490: *(NumConst=128, SV=79, CEps=0.2910, QPEps=0.1023)
Iter 491: *(NumConst=128, SV=78, CEps=0.2000, QPEps=0.0934)
Iter 492: *(NumConst=129, SV=79, CEps=0.2721, QPEps=0.0996)
Iter 493: *(NumConst=130, SV=79, CEps=0.2224, QPEps=0.0895)
Iter 494: *(NumConst=131, SV=78, CEps=0.2478, QPEps=0.0990)
Iter 495: *(NumConst=132, SV=81, CEps=0.2247, QPEps=0.0898)
Iter 496: *(NumConst=133, SV=79, CEps=0.1967, QPEps=0.0925)
Iter 497: *(NumConst=134, SV=79, CEps=0.2489, QPEps=0.0983)
Iter 498: *(NumConst=135, SV=77, CEps=0.1986, QPEps=0.0852)
Iter 499: *(NumConst=136, SV=77, CEps=0.1656, QPEps=0.0821)
Iter 500: *(NumConst=137, SV=77, CEps=0.2444, QPEps=0.0724)
Iter 501: *(NumConst=137, SV=79, CEps=0.1727, QPEps=0.0744)
Iter 502: *(NumConst=138, SV=76, CEps=0.1898, QPEps=0.0771)
Iter 503: *(NumConst=138, SV=74, CEps=0.1942, QPEps=0.0750)
Iter 504: *(NumConst=138, SV=75, CEps=0.1600, QPEps=0.0752)
Iter 505: *(NumConst=138, SV=73, CEps=0.1882, QPEps=0.0792)
Iter 506: *(NumConst=138, SV=74, CEps=0.1719, QPEps=0.0797)
Iter 507: *(NumConst=139, SV=74, CEps=0.1751, QPEps=0.0741)
Iter 508: *(NumConst=140, SV=74, CEps=0.1470, QPEps=0.0714)
Iter 509: *(NumConst=141, SV=75, CEps=0.1608, QPEps=0.0726)
Iter 510: *(NumConst=142, SV=74, CEps=0.1667, QPEps=0.0687)
Iter 511: *(NumConst=140, SV=73, CEps=0.1784, QPEps=0.0706)
Iter 512: *(NumConst=139, SV=74, CEps=0.1335, QPEps=0.0655)
Iter 513: *(NumConst=139, SV=74, CEps=0.1429, QPEps=0.0619)
Iter 514: *(NumConst=138, SV=75, CEps=0.1621, QPEps=0.0633)
Iter 515: *(NumConst=138, SV=76, CEps=0.1479, QPEps=0.0664)
Iter 516: *(NumConst=137, SV=77, CEps=0.1288, QPEps=0.0640)
Iter 517: *(NumConst=138, SV=77, CEps=0.1618, QPEps=0.0619)
Iter 518: *(NumConst=138, SV=78, CEps=0.1316, QPEps=0.0591)
Iter 519: *(NumConst=138, SV=78, CEps=0.1285, QPEps=0.0635)
Iter 520: *(NumConst=139, SV=78, CEps=0.1342, QPEps=0.0641)
Iter 521: *(NumConst=136, SV=76, CEps=0.1256, QPEps=0.0613)
Iter 522: *(NumConst=136, SV=75, CEps=0.1204, QPEps=0.0592)
Iter 523: *(NumConst=133, SV=76, CEps=0.1218, QPEps=0.0584)
Iter 524: *(NumConst=134, SV=76, CEps=0.1210, QPEps=0.0529)
Iter 525: *(NumConst=135, SV=76, CEps=0.1231, QPEps=0.0572)
Iter 526: *(NumConst=135, SV=78, CEps=0.1207, QPEps=0.0580)
Iter 527: *(NumConst=136, SV=79, CEps=0.1104, QPEps=0.0530)
Iter 528: *(NumConst=137, SV=78, CEps=0.1027, QPEps=0.0492)
Iter 529: .........*(NumConst=137, SV=79, CEps=0.3574, QPEps=0.1525)
Iter 530: *(NumConst=135, SV=81, CEps=0.3348, QPEps=0.1497)
Iter 531: *(NumConst=135, SV=81, CEps=0.3190, QPEps=0.1584)
Iter 532: *(NumConst=134, SV=84, CEps=0.2627, QPEps=0.1309)
Iter 533: *(NumConst=132, SV=85, CEps=0.3003, QPEps=0.1137)
Iter 534: *(NumConst=131, SV=84, CEps=0.2872, QPEps=0.1293)
Iter 535: *(NumConst=130, SV=84, CEps=0.2895, QPEps=0.1182)
Iter 536: *(NumConst=131, SV=85, CEps=0.2329, QPEps=0.1134)
Iter 537: *(NumConst=131, SV=85, CEps=0.2548, QPEps=0.1138)
Iter 538: *(NumConst=131, SV=86, CEps=0.2640, QPEps=0.1108)
Iter 539: *(NumConst=131, SV=86, CEps=0.2345, QPEps=0.1151)
Iter 540: *(NumConst=131, SV=86, CEps=0.2274, QPEps=0.1034)
Iter 541: *(NumConst=132, SV=86, CEps=0.2715, QPEps=0.0991)
Iter 542: *(NumConst=132, SV=87, CEps=0.2242, QPEps=0.1104)
Iter 543: *(NumConst=133, SV=87, CEps=0.2035, QPEps=0.0883)
Iter 544: *(NumConst=134, SV=86, CEps=0.2093, QPEps=0.0998)
Iter 545: *(NumConst=132, SV=87, CEps=0.2016, QPEps=0.0919)
Iter 546: *(NumConst=132, SV=86, CEps=0.2310, QPEps=0.0921)
Iter 547: *(NumConst=129, SV=88, CEps=0.1739, QPEps=0.0797)
Iter 548: *(NumConst=129, SV=87, CEps=0.2182, QPEps=0.0829)
Iter 549: *(NumConst=129, SV=87, CEps=0.2146, QPEps=0.0865)
Iter 550: *(NumConst=129, SV=87, CEps=0.2004, QPEps=0.0778)
Iter 551: *(NumConst=128, SV=87, CEps=0.1963, QPEps=0.0840)
Iter 552: *(NumConst=127, SV=89, CEps=0.1815, QPEps=0.0779)
Iter 553: *(NumConst=126, SV=90, CEps=0.1956, QPEps=0.0838)
Iter 554: *(NumConst=125, SV=89, CEps=0.2093, QPEps=0.0717)
Iter 555: *(NumConst=126, SV=88, CEps=0.1909, QPEps=0.0838)
Iter 556: *(NumConst=126, SV=88, CEps=0.1563, QPEps=0.0744)
Iter 557: *(NumConst=126, SV=88, CEps=0.1451, QPEps=0.0699)
Iter 558: *(NumConst=126, SV=90, CEps=0.1327, QPEps=0.0638)
Iter 559: *(NumConst=126, SV=91, CEps=0.1638, QPEps=0.0648)
Iter 560: *(NumConst=125, SV=88, CEps=0.1771, QPEps=0.0648)
Iter 561: *(NumConst=126, SV=86, CEps=0.1367, QPEps=0.0598)
Iter 562: *(NumConst=126, SV=86, CEps=0.1326, QPEps=0.0558)
Iter 563: *(NumConst=127, SV=88, CEps=0.1389, QPEps=0.0593)
Iter 564: *(NumConst=128, SV=85, CEps=0.1620, QPEps=0.0661)
Iter 565: *(NumConst=129, SV=83, CEps=0.1495, QPEps=0.0644)
Iter 566: *(NumConst=129, SV=82, CEps=0.1482, QPEps=0.0659)
Iter 567: *(NumConst=130, SV=82, CEps=0.1314, QPEps=0.0650)
Iter 568: *(NumConst=130, SV=81, CEps=0.1134, QPEps=0.0490)
Iter 569: *(NumConst=131, SV=82, CEps=0.1289, QPEps=0.0562)
Iter 570: *(NumConst=130, SV=82, CEps=0.1351, QPEps=0.0513)
Iter 571: *(NumConst=129, SV=82, CEps=0.1185, QPEps=0.0447)
Iter 572: *(NumConst=130, SV=83, CEps=0.1329, QPEps=0.0499)
Iter 573: *(NumConst=130, SV=83, CEps=0.1571, QPEps=0.0562)
Iter 574: *(NumConst=130, SV=83, CEps=0.1418, QPEps=0.0550)
Iter 575: *(NumConst=131, SV=83, CEps=0.1207, QPEps=0.0517)
Iter 576: *(NumConst=132, SV=84, CEps=0.1127, QPEps=0.0554)
Iter 577: *(NumConst=132, SV=84, CEps=0.1512, QPEps=0.0526)
Iter 578: *(NumConst=133, SV=82, CEps=0.1111, QPEps=0.0531)
Iter 579: *(NumConst=134, SV=83, CEps=0.1563, QPEps=0.0514)
Iter 580: *(NumConst=134, SV=84, CEps=0.1156, QPEps=0.0515)
Iter 581: *(NumConst=135, SV=85, CEps=0.1141, QPEps=0.0477)
Iter 582: *(NumConst=136, SV=86, CEps=0.1251, QPEps=0.0524)
Iter 583: *(NumConst=135, SV=88, CEps=0.1205, QPEps=0.0552)
Iter 584: *(NumConst=135, SV=86, CEps=0.1005, QPEps=0.0500)
Iter 585: *(NumConst=136, SV=85, CEps=0.1022, QPEps=0.0464)
Iter 586: *(NumConst=136, SV=84, CEps=0.1144, QPEps=0.0469)
Iter 587: *(NumConst=137, SV=84, CEps=0.1094, QPEps=0.0441)
Iter 588: *(NumConst=138, SV=82, CEps=0.1001, QPEps=0.0483)
Iter 589: *(NumConst=139, SV=84, CEps=0.1086, QPEps=0.0450)
Iter 590: *(NumConst=139, SV=81, CEps=0.1027, QPEps=0.0484)
Iter 591: *(NumConst=139, SV=81, CEps=0.1073, QPEps=0.0451)
Iter 592: .........*(NumConst=140, SV=82, CEps=0.2644, QPEps=0.0741)
Iter 593: *(NumConst=140, SV=83, CEps=0.2179, QPEps=0.1033)
Iter 594: *(NumConst=140, SV=84, CEps=0.2520, QPEps=0.0943)
Iter 595: *(NumConst=139, SV=85, CEps=0.2676, QPEps=0.0836)
Iter 596: *(NumConst=140, SV=84, CEps=0.2059, QPEps=0.1010)
Iter 597: *(NumConst=140, SV=86, CEps=0.2252, QPEps=0.0984)
Iter 598: *(NumConst=140, SV=86, CEps=0.1994, QPEps=0.0983)
Iter 599: *(NumConst=141, SV=88, CEps=0.2192, QPEps=0.0961)
Iter 600: *(NumConst=141, SV=87, CEps=0.2018, QPEps=0.0922)
Iter 601: *(NumConst=142, SV=87, CEps=0.2102, QPEps=0.0959)
Iter 602: *(NumConst=142, SV=92, CEps=0.1822, QPEps=0.0880)
Iter 603: *(NumConst=142, SV=87, CEps=0.2163, QPEps=0.0868)
Iter 604: *(NumConst=141, SV=87, CEps=0.1617, QPEps=0.0777)
Iter 605: *(NumConst=141, SV=89, CEps=0.2078, QPEps=0.0740)
Iter 606: *(NumConst=142, SV=87, CEps=0.1911, QPEps=0.0796)
Iter 607: *(NumConst=143, SV=90, CEps=0.1476, QPEps=0.0704)
Iter 608: *(NumConst=143, SV=89, CEps=0.1462, QPEps=0.0706)
Iter 609: *(NumConst=139, SV=90, CEps=0.1718, QPEps=0.0726)
Iter 610: *(NumConst=139, SV=87, CEps=0.1304, QPEps=0.0566)
Iter 611: *(NumConst=139, SV=88, CEps=0.1863, QPEps=0.0652)
Iter 612: *(NumConst=139, SV=88, CEps=0.1628, QPEps=0.0613)
Iter 613: *(NumConst=136, SV=87, CEps=0.1693, QPEps=0.0626)
Iter 614: *(NumConst=134, SV=88, CEps=0.1465, QPEps=0.0641)
Iter 615: *(NumConst=132, SV=90, CEps=0.1370, QPEps=0.0629)
Iter 616: *(NumConst=132, SV=90, CEps=0.1367, QPEps=0.0590)
Iter 617: *(NumConst=132, SV=89, CEps=0.1445, QPEps=0.0550)
Iter 618: *(NumConst=133, SV=89, CEps=0.1294, QPEps=0.0627)
Iter 619: *(NumConst=133, SV=89, CEps=0.1092, QPEps=0.0426)
Iter 620: *(NumConst=134, SV=88, CEps=0.1136, QPEps=0.0482)
Iter 621: .........*(NumConst=134, SV=87, CEps=0.1928, QPEps=0.0718)
Iter 622: *(NumConst=135, SV=89, CEps=0.1781, QPEps=0.0816)
Iter 623: *(NumConst=135, SV=89, CEps=0.2016, QPEps=0.0785)
Iter 624: *(NumConst=136, SV=91, CEps=0.1751, QPEps=0.0750)
Iter 625: *(NumConst=136, SV=93, CEps=0.1828, QPEps=0.0829)
Iter 626: *(NumConst=137, SV=92, CEps=0.1562, QPEps=0.0722)
Iter 627: *(NumConst=137, SV=93, CEps=0.1645, QPEps=0.0689)
Iter 628: *(NumConst=138, SV=94, CEps=0.1211, QPEps=0.0587)
Iter 629: *(NumConst=139, SV=93, CEps=0.1582, QPEps=0.0594)
Iter 630: *(NumConst=140, SV=93, CEps=0.1519, QPEps=0.0583)
Iter 631: *(NumConst=141, SV=91, CEps=0.1508, QPEps=0.0518)
Iter 632: *(NumConst=141, SV=93, CEps=0.1341, QPEps=0.0538)
Iter 633: *(NumConst=140, SV=93, CEps=0.1425, QPEps=0.0504)
Iter 634: *(NumConst=139, SV=94, CEps=0.1319, QPEps=0.0591)
Iter 635: *(NumConst=139, SV=94, CEps=0.1686, QPEps=0.0587)
Iter 636: *(NumConst=140, SV=94, CEps=0.1304, QPEps=0.0603)
Iter 637: *(NumConst=138, SV=93, CEps=0.1328, QPEps=0.0595)
Iter 638: *(NumConst=139, SV=94, CEps=0.1459, QPEps=0.0528)
Iter 639: *(NumConst=138, SV=93, CEps=0.1246, QPEps=0.0545)
Iter 640: *(NumConst=139, SV=93, CEps=0.1309, QPEps=0.0569)
Iter 641: *(NumConst=140, SV=94, CEps=0.1431, QPEps=0.0492)
Iter 642: *(NumConst=141, SV=94, CEps=0.1037, QPEps=0.0473)
Iter 643: *(NumConst=142, SV=95, CEps=0.1214, QPEps=0.0488)
Iter 644: *(NumConst=143, SV=95, CEps=0.1261, QPEps=0.0508)
Iter 645: *(NumConst=143, SV=95, CEps=0.1193, QPEps=0.0473)
Iter 646: *(NumConst=144, SV=93, CEps=0.1385, QPEps=0.0494)
Iter 647: *(NumConst=144, SV=92, CEps=0.1042, QPEps=0.0507)
Iter 648: *(NumConst=145, SV=94, CEps=0.1040, QPEps=0.0511)
Iter 649: *(NumConst=144, SV=95, CEps=0.1117, QPEps=0.0492)
Iter 650: .........*(NumConst=144, SV=96, CEps=0.1730, QPEps=0.0805)
Iter 651: *(NumConst=145, SV=95, CEps=0.1454, QPEps=0.0711)
Iter 652: *(NumConst=141, SV=93, CEps=0.1636, QPEps=0.0705)
Iter 653: *(NumConst=141, SV=94, CEps=0.1592, QPEps=0.0704)
Iter 654: *(NumConst=142, SV=92, CEps=0.1517, QPEps=0.0721)
Iter 655: *(NumConst=140, SV=93, CEps=0.1255, QPEps=0.0621)
Iter 656: *(NumConst=141, SV=93, CEps=0.1288, QPEps=0.0621)
Iter 657: *(NumConst=140, SV=93, CEps=0.1261, QPEps=0.0613)
Iter 658: *(NumConst=141, SV=93, CEps=0.1327, QPEps=0.0595)
Iter 659: *(NumConst=140, SV=94, CEps=0.1224, QPEps=0.0532)
Iter 660: *(NumConst=140, SV=95, CEps=0.1341, QPEps=0.0606)
Iter 661: *(NumConst=140, SV=95, CEps=0.1251, QPEps=0.0603)
Iter 662: *(NumConst=139, SV=95, CEps=0.1059, QPEps=0.0500)
Iter 663: *(NumConst=140, SV=95, CEps=0.1235, QPEps=0.0522)
Iter 664: *(NumConst=141, SV=96, CEps=0.1192, QPEps=0.0519)
Iter 665: *(NumConst=141, SV=96, CEps=0.1113, QPEps=0.0523)
Iter 666: *(NumConst=141, SV=96, CEps=0.1075, QPEps=0.0523)
Iter 667: .........*(NumConst=141, SV=96, CEps=0.1734, QPEps=0.0842)
Iter 668: *(NumConst=141, SV=97, CEps=0.1420, QPEps=0.0701)
Iter 669: *(NumConst=142, SV=97, CEps=0.1236, QPEps=0.0614)
Iter 670: *(NumConst=141, SV=97, CEps=0.1190, QPEps=0.0567)
Iter 671: *(NumConst=142, SV=97, CEps=0.1210, QPEps=0.0540)
Iter 672: *(NumConst=142, SV=97, CEps=0.1199, QPEps=0.0527)
Iter 673: *(NumConst=143, SV=96, CEps=0.1124, QPEps=0.0562)
Iter 674: *(NumConst=143, SV=98, CEps=0.1161, QPEps=0.0514)
Iter 675: *(NumConst=144, SV=97, CEps=0.1326, QPEps=0.0545)
Iter 676: *(NumConst=145, SV=97, CEps=0.1127, QPEps=0.0523)
Iter 677: *(NumConst=146, SV=97, CEps=0.1209, QPEps=0.0561)
Iter 678: .........*(NumConst=146, SV=97, CEps=0.1387, QPEps=0.0677)
Iter 679: *(NumConst=145, SV=99, CEps=0.1203, QPEps=0.0538)
Iter 680: *(NumConst=144, SV=100, CEps=0.1251, QPEps=0.0572)
Iter 681: *(NumConst=145, SV=98, CEps=0.1305, QPEps=0.0591)
Iter 682: *(NumConst=145, SV=99, CEps=0.1177, QPEps=0.0497)
Iter 683: *(NumConst=145, SV=99, CEps=0.1178, QPEps=0.0514)
Iter 684: *(NumConst=144, SV=102, CEps=0.1348, QPEps=0.0570)
Iter 685: *(NumConst=145, SV=101, CEps=0.1223, QPEps=0.0535)
Iter 686: *(NumConst=145, SV=101, CEps=0.1057, QPEps=0.0444)
Iter 687: *(NumConst=146, SV=102, CEps=0.1009, QPEps=0.0477)
Iter 688: *(NumConst=145, SV=101, CEps=0.1003, QPEps=0.0485)
Iter 689: *(NumConst=145, SV=101, CEps=0.1084, QPEps=0.0414)
Iter 690: *(NumConst=146, SV=102, CEps=0.1009, QPEps=0.0463)
Iter 691: *(NumConst=147, SV=102, CEps=0.1005, QPEps=0.0475)
Iter 692: *(NumConst=147, SV=103, CEps=0.1004, QPEps=0.0481)
Iter 693: *(NumConst=146, SV=104, CEps=0.1009, QPEps=0.0463)
Iter 694: .........*(NumConst=145, SV=105, CEps=0.1057, QPEps=0.0517)
Iter 695: *(NumConst=143, SV=106, CEps=0.1083, QPEps=0.0453)
Iter 696: *(NumConst=143, SV=105, CEps=0.1023, QPEps=0.0502)
Iter 697: .........*(NumConst=144, SV=105, CEps=0.1156, QPEps=0.0513)
Iter 698: *(NumConst=145, SV=106, CEps=0.1035, QPEps=0.0468)
Iter 699: *(NumConst=146, SV=107, CEps=0.1030, QPEps=0.0469)
Iter 700: .........*(NumConst=145, SV=106, CEps=0.1211, QPEps=0.0501)
Iter 701: .........*(NumConst=143, SV=106, CEps=0.1208, QPEps=0.0490)
Iter 702: .........*(NumConst=144, SV=106, CEps=0.1003, QPEps=0.0487)
Iter 703: .........*(NumConst=143, SV=106, CEps=0.1028, QPEps=0.0459)
Iter 704: .........(NumConst=143, SV=106, CEps=0.0988, QPEps=0.0459)
Final epsilon on KKT-Conditions: 0.09878
Upper bound on duality gap: 208.16214
Dual objective value: dval=2770.14853
Primal objective value: pval=2978.31067
Total number of constraints in final working set: 143 (of 703)
Number of iterations: 704
Number of calls to 'find_most_violated_constraint': 589776
Number of SV: 106 
Norm of weight vector: |w|=45.17740
Value of slack variable (on working set): xi=0.84877
Value of slack variable (global): xi=0.92469
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=2.17335
Runtime in cpu-seconds: 471.98
Final number of constraints in cache: 44680
Viterbi timing: CreateTransEmitMatrix=8691.000000 Viterbi=13923.000000
Compacting linear model...done
Writing learned model...done
=== END program1: ./run learn ../dataset2/train --- OK [1172s]

===== 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
read 13 templates from "template"
Reading model...done.
Reading test examples... 8936 examples, 211727 tokens, 42354 features, 45 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 3.34
Average loss on test set: 23.6937
Zero/one-error on test set: 100.00% (0 correct, 8936 incorrect, 8936 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [60s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [17s]

===== 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 [2s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
read 13 templates from "template"
Reading model...done.
Reading test examples... 2012 examples, 47377 tokens, 42304 features, 45 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.74
Average loss on test set: 23.5472
Zero/one-error on test set: 100.00% (0 correct, 2012 incorrect, 2012 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [15s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [4s]


real	21m37.558s
user	8m42.041s
sys	0m30.422s

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