ServerRun 11216
Creatorfavre
Programsvm-hmm
Datasetner-conll2003-eng
Task typeSequenceTagging
Created6y288d ago
DownloadLogin required!
Done! Flag_green
4m52s
420M
SequenceTagging
0.965
0.820
0.936
0.696

Log file

... (lines omitted) ...
Iter 191: *(NumConst=92, SV=24, CEps=0.2626, QPEps=0.1081)
Iter 192: .........*(NumConst=91, SV=25, CEps=1.2506, QPEps=0.3264)
Iter 193: *(NumConst=91, SV=27, CEps=0.9267, QPEps=0.3875)
Iter 194: *(NumConst=89, SV=31, CEps=0.7265, QPEps=0.3349)
Iter 195: *(NumConst=86, SV=28, CEps=0.9110, QPEps=0.3628)
Iter 196: *(NumConst=85, SV=33, CEps=0.6595, QPEps=0.3015)
Iter 197: *(NumConst=86, SV=32, CEps=1.0531, QPEps=0.3075)
Iter 198: *(NumConst=86, SV=34, CEps=0.6697, QPEps=0.2868)
Iter 199: *(NumConst=86, SV=35, CEps=0.6279, QPEps=0.2621)
Iter 200: *(NumConst=86, SV=31, CEps=1.0617, QPEps=0.3042)
Iter 201: *(NumConst=85, SV=31, CEps=0.8892, QPEps=0.3067)
Iter 202: *(NumConst=85, SV=38, CEps=0.6609, QPEps=0.2994)
Iter 203: *(NumConst=86, SV=31, CEps=0.9459, QPEps=0.2963)
Iter 204: *(NumConst=85, SV=30, CEps=0.7260, QPEps=0.3123)
Iter 205: *(NumConst=86, SV=27, CEps=0.7548, QPEps=0.2946)
Iter 206: *(NumConst=86, SV=27, CEps=0.7230, QPEps=0.3115)
Iter 207: *(NumConst=85, SV=29, CEps=0.5619, QPEps=0.2690)
Iter 208: *(NumConst=86, SV=26, CEps=0.7412, QPEps=0.2541)
Iter 209: *(NumConst=86, SV=27, CEps=0.6359, QPEps=0.2622)
Iter 210: *(NumConst=86, SV=27, CEps=0.6371, QPEps=0.2670)
Iter 211: *(NumConst=87, SV=31, CEps=0.5407, QPEps=0.2693)
Iter 212: *(NumConst=88, SV=28, CEps=0.6272, QPEps=0.2559)
Iter 213: *(NumConst=89, SV=27, CEps=0.7289, QPEps=0.2254)
Iter 214: *(NumConst=89, SV=27, CEps=0.5221, QPEps=0.2412)
Iter 215: *(NumConst=88, SV=27, CEps=0.6112, QPEps=0.2308)
Iter 216: *(NumConst=89, SV=25, CEps=0.4531, QPEps=0.2256)
Iter 217: *(NumConst=88, SV=25, CEps=0.5625, QPEps=0.2135)
Iter 218: *(NumConst=87, SV=25, CEps=0.5494, QPEps=0.2102)
Iter 219: *(NumConst=87, SV=25, CEps=0.4407, QPEps=0.1972)
Iter 220: *(NumConst=88, SV=27, CEps=0.5384, QPEps=0.1977)
Iter 221: *(NumConst=89, SV=28, CEps=0.5290, QPEps=0.2122)
Iter 222: *(NumConst=88, SV=28, CEps=0.4809, QPEps=0.2186)
Iter 223: *(NumConst=88, SV=31, CEps=0.4170, QPEps=0.1948)
Iter 224: *(NumConst=89, SV=31, CEps=0.4213, QPEps=0.2015)
Iter 225: *(NumConst=88, SV=27, CEps=0.5933, QPEps=0.1796)
Iter 226: *(NumConst=89, SV=30, CEps=0.3451, QPEps=0.1713)
Iter 227: *(NumConst=90, SV=31, CEps=0.7029, QPEps=0.1405)
Iter 228: *(NumConst=89, SV=32, CEps=0.4750, QPEps=0.1658)
Iter 229: *(NumConst=90, SV=30, CEps=0.3522, QPEps=0.1344)
Iter 230: *(NumConst=91, SV=32, CEps=0.3834, QPEps=0.1616)
Iter 231: *(NumConst=91, SV=31, CEps=0.2953, QPEps=0.1185)
Iter 232: *(NumConst=91, SV=31, CEps=0.3850, QPEps=0.1197)
Iter 233: *(NumConst=92, SV=32, CEps=0.2834, QPEps=0.1373)
Iter 234: *(NumConst=92, SV=35, CEps=0.2348, QPEps=0.1081)
Iter 235: *(NumConst=93, SV=34, CEps=0.2479, QPEps=0.1134)
Iter 236: *(NumConst=94, SV=31, CEps=0.2111, QPEps=0.1036)
Iter 237: *(NumConst=95, SV=33, CEps=0.2246, QPEps=0.1046)
Iter 238: *(NumConst=96, SV=33, CEps=0.2049, QPEps=0.1018)
Iter 239: *(NumConst=96, SV=31, CEps=0.1520, QPEps=0.0746)
Iter 240: *(NumConst=96, SV=32, CEps=0.1906, QPEps=0.0689)
Iter 241: *(NumConst=97, SV=34, CEps=0.2062, QPEps=0.0615)
Iter 242: *(NumConst=98, SV=34, CEps=0.1856, QPEps=0.0741)
Iter 243: *(NumConst=98, SV=32, CEps=0.2049, QPEps=0.0744)
Iter 244: *(NumConst=98, SV=36, CEps=0.1964, QPEps=0.0641)
Iter 245: *(NumConst=97, SV=32, CEps=0.2028, QPEps=0.0708)
Iter 246: *(NumConst=97, SV=33, CEps=0.1420, QPEps=0.0618)
Iter 247: *(NumConst=98, SV=31, CEps=0.2229, QPEps=0.0704)
Iter 248: *(NumConst=98, SV=31, CEps=0.1808, QPEps=0.0638)
Iter 249: *(NumConst=96, SV=31, CEps=0.2303, QPEps=0.0682)
Iter 250: *(NumConst=97, SV=32, CEps=0.1453, QPEps=0.0675)
Iter 251: *(NumConst=97, SV=31, CEps=0.1613, QPEps=0.0664)
Iter 252: *(NumConst=94, SV=32, CEps=0.1404, QPEps=0.0691)
Iter 253: .........*(NumConst=93, SV=33, CEps=0.8955, QPEps=0.1497)
Iter 254: *(NumConst=90, SV=33, CEps=0.3758, QPEps=0.1756)
Iter 255: *(NumConst=89, SV=36, CEps=0.2276, QPEps=0.1136)
Iter 256: *(NumConst=87, SV=33, CEps=0.3894, QPEps=0.0992)
Iter 257: *(NumConst=83, SV=44, CEps=0.2320, QPEps=0.1133)
Iter 258: *(NumConst=82, SV=38, CEps=0.6674, QPEps=0.1085)
Iter 259: *(NumConst=83, SV=39, CEps=0.4238, QPEps=0.1069)
Iter 260: *(NumConst=84, SV=38, CEps=0.4110, QPEps=0.1117)
Iter 261: *(NumConst=82, SV=39, CEps=0.3649, QPEps=0.1112)
Iter 262: *(NumConst=80, SV=36, CEps=0.3219, QPEps=0.1111)
Iter 263: *(NumConst=80, SV=35, CEps=0.2959, QPEps=0.1048)
Iter 264: *(NumConst=81, SV=35, CEps=0.2508, QPEps=0.0833)
Iter 265: *(NumConst=81, SV=34, CEps=0.3628, QPEps=0.1025)
Iter 266: *(NumConst=81, SV=35, CEps=0.2384, QPEps=0.1056)
Iter 267: *(NumConst=81, SV=34, CEps=0.2982, QPEps=0.1021)
Iter 268: *(NumConst=82, SV=32, CEps=0.4089, QPEps=0.1083)
Iter 269: *(NumConst=83, SV=30, CEps=0.2475, QPEps=0.1129)
Iter 270: *(NumConst=83, SV=33, CEps=0.2435, QPEps=0.1009)
Iter 271: *(NumConst=84, SV=32, CEps=0.2918, QPEps=0.0968)
Iter 272: *(NumConst=84, SV=35, CEps=0.2775, QPEps=0.1112)
Iter 273: *(NumConst=85, SV=34, CEps=0.2764, QPEps=0.1136)
Iter 274: *(NumConst=85, SV=33, CEps=0.1661, QPEps=0.0823)
Iter 275: *(NumConst=86, SV=33, CEps=0.2632, QPEps=0.0773)
Iter 276: *(NumConst=87, SV=32, CEps=0.2142, QPEps=0.0751)
Iter 277: *(NumConst=88, SV=28, CEps=0.2281, QPEps=0.0804)
Iter 278: *(NumConst=87, SV=32, CEps=0.1567, QPEps=0.0755)
Iter 279: *(NumConst=88, SV=30, CEps=0.3008, QPEps=0.0759)
Iter 280: *(NumConst=88, SV=30, CEps=0.2407, QPEps=0.0735)
Iter 281: *(NumConst=88, SV=31, CEps=0.2120, QPEps=0.0769)
Iter 282: *(NumConst=89, SV=32, CEps=0.1943, QPEps=0.0765)
Iter 283: *(NumConst=90, SV=32, CEps=0.2766, QPEps=0.0584)
Iter 284: *(NumConst=91, SV=32, CEps=0.1856, QPEps=0.0715)
Iter 285: *(NumConst=92, SV=31, CEps=0.2180, QPEps=0.0693)
Iter 286: *(NumConst=93, SV=34, CEps=0.1966, QPEps=0.0722)
Iter 287: *(NumConst=92, SV=32, CEps=0.2459, QPEps=0.0775)
Iter 288: *(NumConst=93, SV=33, CEps=0.1889, QPEps=0.0630)
Iter 289: *(NumConst=94, SV=32, CEps=0.1502, QPEps=0.0750)
Iter 290: *(NumConst=95, SV=35, CEps=0.1388, QPEps=0.0684)
Iter 291: *(NumConst=95, SV=34, CEps=0.2122, QPEps=0.0666)
Iter 292: *(NumConst=96, SV=32, CEps=0.1578, QPEps=0.0690)
Iter 293: *(NumConst=96, SV=35, CEps=0.1519, QPEps=0.0642)
Iter 294: *(NumConst=96, SV=35, CEps=0.1199, QPEps=0.0585)
Iter 295: *(NumConst=97, SV=32, CEps=0.1481, QPEps=0.0568)
Iter 296: *(NumConst=97, SV=38, CEps=0.1244, QPEps=0.0582)
Iter 297: *(NumConst=98, SV=35, CEps=0.1738, QPEps=0.0592)
Iter 298: *(NumConst=99, SV=34, CEps=0.1453, QPEps=0.0597)
Iter 299: *(NumConst=99, SV=35, CEps=0.1324, QPEps=0.0539)
Iter 300: *(NumConst=98, SV=33, CEps=0.1029, QPEps=0.0496)
Iter 301: .........*(NumConst=99, SV=34, CEps=0.7124, QPEps=0.1429)
Iter 302: *(NumConst=100, SV=36, CEps=0.3565, QPEps=0.1109)
Iter 303: *(NumConst=100, SV=34, CEps=0.2268, QPEps=0.0988)
Iter 304: *(NumConst=100, SV=38, CEps=0.2334, QPEps=0.1119)
Iter 305: *(NumConst=100, SV=37, CEps=0.2991, QPEps=0.1129)
Iter 306: *(NumConst=100, SV=35, CEps=0.2777, QPEps=0.1131)
Iter 307: *(NumConst=97, SV=37, CEps=0.2206, QPEps=0.0993)
Iter 308: *(NumConst=98, SV=38, CEps=0.2410, QPEps=0.1090)
Iter 309: *(NumConst=97, SV=35, CEps=0.2101, QPEps=0.0795)
Iter 310: *(NumConst=96, SV=40, CEps=0.1805, QPEps=0.0862)
Iter 311: *(NumConst=94, SV=35, CEps=0.3019, QPEps=0.0864)
Iter 312: *(NumConst=95, SV=35, CEps=0.2399, QPEps=0.0865)
Iter 313: *(NumConst=95, SV=36, CEps=0.2595, QPEps=0.0824)
Iter 314: *(NumConst=93, SV=32, CEps=0.1837, QPEps=0.0893)
Iter 315: *(NumConst=93, SV=33, CEps=0.2345, QPEps=0.0869)
Iter 316: *(NumConst=92, SV=36, CEps=0.2145, QPEps=0.0818)
Iter 317: *(NumConst=91, SV=31, CEps=0.2021, QPEps=0.0897)
Iter 318: *(NumConst=92, SV=32, CEps=0.1775, QPEps=0.0868)
Iter 319: *(NumConst=93, SV=34, CEps=0.1623, QPEps=0.0722)
Iter 320: *(NumConst=94, SV=34, CEps=0.1292, QPEps=0.0601)
Iter 321: *(NumConst=95, SV=32, CEps=0.2487, QPEps=0.0520)
Iter 322: *(NumConst=96, SV=33, CEps=0.1415, QPEps=0.0631)
Iter 323: *(NumConst=95, SV=32, CEps=0.2269, QPEps=0.0611)
Iter 324: *(NumConst=95, SV=32, CEps=0.1747, QPEps=0.0583)
Iter 325: *(NumConst=96, SV=34, CEps=0.1340, QPEps=0.0624)
Iter 326: *(NumConst=95, SV=37, CEps=0.1099, QPEps=0.0519)
Iter 327: *(NumConst=95, SV=35, CEps=0.2925, QPEps=0.0473)
Iter 328: *(NumConst=95, SV=37, CEps=0.1600, QPEps=0.0483)
Iter 329: *(NumConst=94, SV=36, CEps=0.1799, QPEps=0.0487)
Iter 330: *(NumConst=95, SV=40, CEps=0.1192, QPEps=0.0527)
Iter 331: *(NumConst=96, SV=33, CEps=0.1534, QPEps=0.0467)
Iter 332: *(NumConst=95, SV=30, CEps=0.2157, QPEps=0.0537)
Iter 333: *(NumConst=94, SV=31, CEps=0.1388, QPEps=0.0399)
Iter 334: *(NumConst=93, SV=30, CEps=0.1493, QPEps=0.0518)
Iter 335: *(NumConst=94, SV=30, CEps=0.1235, QPEps=0.0535)
Iter 336: *(NumConst=93, SV=33, CEps=0.1079, QPEps=0.0482)
Iter 337: *(NumConst=94, SV=33, CEps=0.1292, QPEps=0.0438)
Iter 338: *(NumConst=95, SV=34, CEps=0.1552, QPEps=0.0533)
Iter 339: *(NumConst=95, SV=36, CEps=0.1075, QPEps=0.0535)
Iter 340: *(NumConst=95, SV=35, CEps=0.1434, QPEps=0.0528)
Iter 341: .........*(NumConst=95, SV=35, CEps=0.4834, QPEps=0.1247)
Iter 342: *(NumConst=94, SV=35, CEps=0.2728, QPEps=0.1362)
Iter 343: *(NumConst=94, SV=40, CEps=0.3035, QPEps=0.1329)
Iter 344: *(NumConst=94, SV=39, CEps=0.4339, QPEps=0.1341)
Iter 345: *(NumConst=95, SV=38, CEps=0.3043, QPEps=0.1282)
Iter 346: *(NumConst=96, SV=36, CEps=0.3519, QPEps=0.1258)
Iter 347: *(NumConst=97, SV=36, CEps=0.3019, QPEps=0.1117)
Iter 348: *(NumConst=98, SV=40, CEps=0.2114, QPEps=0.1035)
Iter 349: *(NumConst=98, SV=41, CEps=0.3411, QPEps=0.1041)
Iter 350: *(NumConst=99, SV=41, CEps=0.3226, QPEps=0.1014)
Iter 351: *(NumConst=99, SV=40, CEps=0.2175, QPEps=0.1022)
Iter 352: *(NumConst=98, SV=38, CEps=0.3318, QPEps=0.0868)
Iter 353: *(NumConst=98, SV=37, CEps=0.3951, QPEps=0.0889)
Iter 354: *(NumConst=98, SV=36, CEps=0.2072, QPEps=0.0897)
Iter 355: *(NumConst=97, SV=37, CEps=0.4212, QPEps=0.1012)
Iter 356: *(NumConst=97, SV=38, CEps=0.2470, QPEps=0.0876)
Iter 357: *(NumConst=97, SV=38, CEps=0.2244, QPEps=0.0981)
Iter 358: *(NumConst=96, SV=37, CEps=0.3951, QPEps=0.0886)
Iter 359: *(NumConst=96, SV=37, CEps=0.2326, QPEps=0.0958)
Iter 360: *(NumConst=94, SV=37, CEps=0.2108, QPEps=0.1010)
Iter 361: *(NumConst=94, SV=33, CEps=0.2903, QPEps=0.1013)
Iter 362: *(NumConst=95, SV=35, CEps=0.2617, QPEps=0.0915)
Iter 363: *(NumConst=96, SV=33, CEps=0.1553, QPEps=0.0772)
Iter 364: *(NumConst=95, SV=36, CEps=0.3020, QPEps=0.0772)
Iter 365: *(NumConst=96, SV=36, CEps=0.2550, QPEps=0.0750)
Iter 366: *(NumConst=94, SV=36, CEps=0.2286, QPEps=0.0726)
Iter 367: *(NumConst=95, SV=33, CEps=0.2164, QPEps=0.0661)
Iter 368: *(NumConst=96, SV=34, CEps=0.1988, QPEps=0.0720)
Iter 369: *(NumConst=97, SV=35, CEps=0.1683, QPEps=0.0769)
Iter 370: *(NumConst=96, SV=34, CEps=0.1517, QPEps=0.0757)
Iter 371: *(NumConst=97, SV=32, CEps=0.1950, QPEps=0.0729)
Iter 372: *(NumConst=98, SV=36, CEps=0.1502, QPEps=0.0705)
Iter 373: *(NumConst=99, SV=37, CEps=0.2032, QPEps=0.0693)
Iter 374: *(NumConst=100, SV=38, CEps=0.1506, QPEps=0.0746)
Iter 375: *(NumConst=99, SV=36, CEps=0.1604, QPEps=0.0751)
Iter 376: *(NumConst=99, SV=39, CEps=0.1743, QPEps=0.0727)
Iter 377: *(NumConst=100, SV=36, CEps=0.1475, QPEps=0.0709)
Iter 378: *(NumConst=101, SV=37, CEps=0.1281, QPEps=0.0586)
Iter 379: *(NumConst=101, SV=34, CEps=0.1622, QPEps=0.0553)
Iter 380: *(NumConst=99, SV=35, CEps=0.1300, QPEps=0.0614)
Iter 381: *(NumConst=99, SV=35, CEps=0.1091, QPEps=0.0493)
Iter 382: *(NumConst=100, SV=35, CEps=0.1449, QPEps=0.0525)
Iter 383: .........*(NumConst=101, SV=36, CEps=0.3541, QPEps=0.1145)
Iter 384: *(NumConst=102, SV=39, CEps=0.2032, QPEps=0.0916)
Iter 385: *(NumConst=103, SV=40, CEps=0.2401, QPEps=0.0999)
Iter 386: *(NumConst=104, SV=38, CEps=0.2105, QPEps=0.1002)
Iter 387: *(NumConst=105, SV=39, CEps=0.2393, QPEps=0.1003)
Iter 388: *(NumConst=106, SV=36, CEps=0.2371, QPEps=0.0961)
Iter 389: *(NumConst=106, SV=36, CEps=0.2373, QPEps=0.1001)
Iter 390: *(NumConst=107, SV=36, CEps=0.1736, QPEps=0.0795)
Iter 391: *(NumConst=107, SV=46, CEps=0.1864, QPEps=0.0829)
Iter 392: *(NumConst=108, SV=45, CEps=0.2551, QPEps=0.0823)
Iter 393: *(NumConst=109, SV=40, CEps=0.1472, QPEps=0.0711)
Iter 394: *(NumConst=109, SV=37, CEps=0.2301, QPEps=0.0735)
Iter 395: *(NumConst=108, SV=38, CEps=0.2424, QPEps=0.0721)
Iter 396: *(NumConst=109, SV=38, CEps=0.2109, QPEps=0.0687)
Iter 397: *(NumConst=108, SV=40, CEps=0.1946, QPEps=0.0616)
Iter 398: *(NumConst=108, SV=39, CEps=0.1967, QPEps=0.0720)
Iter 399: *(NumConst=108, SV=37, CEps=0.1609, QPEps=0.0708)
Iter 400: *(NumConst=107, SV=41, CEps=0.1686, QPEps=0.0712)
Iter 401: *(NumConst=107, SV=39, CEps=0.1629, QPEps=0.0708)
Iter 402: *(NumConst=107, SV=37, CEps=0.1905, QPEps=0.0735)
Iter 403: *(NumConst=106, SV=42, CEps=0.1328, QPEps=0.0623)
Iter 404: *(NumConst=105, SV=38, CEps=0.2181, QPEps=0.0615)
Iter 405: *(NumConst=104, SV=37, CEps=0.1583, QPEps=0.0651)
Iter 406: *(NumConst=102, SV=37, CEps=0.1750, QPEps=0.0623)
Iter 407: *(NumConst=102, SV=39, CEps=0.1131, QPEps=0.0545)
Iter 408: *(NumConst=100, SV=35, CEps=0.1945, QPEps=0.0510)
Iter 409: *(NumConst=98, SV=34, CEps=0.1232, QPEps=0.0532)
Iter 410: *(NumConst=97, SV=36, CEps=0.1491, QPEps=0.0506)
Iter 411: *(NumConst=98, SV=35, CEps=0.1275, QPEps=0.0516)
Iter 412: *(NumConst=96, SV=33, CEps=0.1668, QPEps=0.0506)
Iter 413: *(NumConst=96, SV=34, CEps=0.1945, QPEps=0.0559)
Iter 414: .........*(NumConst=97, SV=35, CEps=0.3091, QPEps=0.0827)
Iter 415: *(NumConst=95, SV=38, CEps=0.2090, QPEps=0.0822)
Iter 416: *(NumConst=94, SV=38, CEps=0.1926, QPEps=0.0881)
Iter 417: *(NumConst=95, SV=41, CEps=0.1375, QPEps=0.0596)
Iter 418: *(NumConst=96, SV=38, CEps=0.1830, QPEps=0.0645)
Iter 419: *(NumConst=95, SV=41, CEps=0.1417, QPEps=0.0671)
Iter 420: *(NumConst=96, SV=37, CEps=0.2282, QPEps=0.0658)
Iter 421: *(NumConst=97, SV=41, CEps=0.1495, QPEps=0.0665)
Iter 422: *(NumConst=97, SV=37, CEps=0.1629, QPEps=0.0686)
Iter 423: *(NumConst=97, SV=40, CEps=0.1283, QPEps=0.0628)
Iter 424: *(NumConst=98, SV=39, CEps=0.1253, QPEps=0.0587)
Iter 425: *(NumConst=99, SV=36, CEps=0.1773, QPEps=0.0611)
Iter 426: *(NumConst=100, SV=41, CEps=0.1064, QPEps=0.0527)
Iter 427: *(NumConst=101, SV=37, CEps=0.1676, QPEps=0.0438)
Iter 428: *(NumConst=101, SV=36, CEps=0.1568, QPEps=0.0492)
Iter 429: *(NumConst=102, SV=35, CEps=0.1235, QPEps=0.0427)
Iter 430: *(NumConst=103, SV=36, CEps=0.1397, QPEps=0.0523)
Iter 431: *(NumConst=103, SV=40, CEps=0.1177, QPEps=0.0514)
Iter 432: *(NumConst=104, SV=38, CEps=0.1388, QPEps=0.0485)
Iter 433: *(NumConst=104, SV=36, CEps=0.1396, QPEps=0.0527)
Iter 434: *(NumConst=103, SV=38, CEps=0.1046, QPEps=0.0450)
Iter 435: *(NumConst=103, SV=38, CEps=0.1216, QPEps=0.0412)
Iter 436: *(NumConst=103, SV=35, CEps=0.1355, QPEps=0.0445)
Iter 437: *(NumConst=103, SV=36, CEps=0.1080, QPEps=0.0505)
Iter 438: *(NumConst=103, SV=34, CEps=0.1261, QPEps=0.0496)
Iter 439: *(NumConst=104, SV=34, CEps=0.1157, QPEps=0.0407)
Iter 440: .........*(NumConst=104, SV=35, CEps=0.2733, QPEps=0.0585)
Iter 441: *(NumConst=104, SV=36, CEps=0.1870, QPEps=0.0910)
Iter 442: *(NumConst=101, SV=39, CEps=0.1667, QPEps=0.0788)
Iter 443: *(NumConst=100, SV=41, CEps=0.2007, QPEps=0.0551)
Iter 444: *(NumConst=100, SV=42, CEps=0.1275, QPEps=0.0619)
Iter 445: *(NumConst=101, SV=43, CEps=0.1437, QPEps=0.0587)
Iter 446: *(NumConst=102, SV=41, CEps=0.1481, QPEps=0.0608)
Iter 447: *(NumConst=103, SV=40, CEps=0.1354, QPEps=0.0626)
Iter 448: *(NumConst=104, SV=42, CEps=0.1923, QPEps=0.0585)
Iter 449: *(NumConst=104, SV=38, CEps=0.1679, QPEps=0.0628)
Iter 450: *(NumConst=103, SV=42, CEps=0.1226, QPEps=0.0588)
Iter 451: *(NumConst=103, SV=42, CEps=0.1392, QPEps=0.0576)
Iter 452: *(NumConst=103, SV=42, CEps=0.1459, QPEps=0.0613)
Iter 453: *(NumConst=102, SV=41, CEps=0.1246, QPEps=0.0590)
Iter 454: *(NumConst=102, SV=42, CEps=0.1104, QPEps=0.0551)
Iter 455: *(NumConst=103, SV=42, CEps=0.1182, QPEps=0.0532)
Iter 456: *(NumConst=103, SV=42, CEps=0.1294, QPEps=0.0522)
Iter 457: *(NumConst=104, SV=41, CEps=0.1128, QPEps=0.0539)
Iter 458: *(NumConst=104, SV=40, CEps=0.1193, QPEps=0.0526)
Iter 459: *(NumConst=105, SV=40, CEps=0.1072, QPEps=0.0533)
Iter 460: .........*(NumConst=105, SV=41, CEps=0.1854, QPEps=0.0897)
Iter 461: *(NumConst=105, SV=48, CEps=0.1335, QPEps=0.0636)
Iter 462: *(NumConst=106, SV=43, CEps=0.1755, QPEps=0.0659)
Iter 463: *(NumConst=107, SV=43, CEps=0.1698, QPEps=0.0647)
Iter 464: *(NumConst=107, SV=46, CEps=0.1145, QPEps=0.0528)
Iter 465: *(NumConst=108, SV=49, CEps=0.1919, QPEps=0.0512)
Iter 466: *(NumConst=108, SV=45, CEps=0.1713, QPEps=0.0572)
Iter 467: *(NumConst=107, SV=45, CEps=0.1511, QPEps=0.0567)
Iter 468: *(NumConst=106, SV=43, CEps=0.1548, QPEps=0.0562)
Iter 469: *(NumConst=106, SV=43, CEps=0.1385, QPEps=0.0571)
Iter 470: *(NumConst=106, SV=42, CEps=0.1513, QPEps=0.0533)
Iter 471: *(NumConst=105, SV=42, CEps=0.1256, QPEps=0.0545)
Iter 472: *(NumConst=105, SV=40, CEps=0.1293, QPEps=0.0479)
Iter 473: *(NumConst=105, SV=44, CEps=0.1071, QPEps=0.0514)
Iter 474: *(NumConst=103, SV=44, CEps=0.1368, QPEps=0.0534)
Iter 475: .........*(NumConst=103, SV=44, CEps=0.1922, QPEps=0.0780)
Iter 476: *(NumConst=100, SV=45, CEps=0.1961, QPEps=0.0873)
Iter 477: *(NumConst=100, SV=49, CEps=0.1642, QPEps=0.0813)
Iter 478: *(NumConst=100, SV=47, CEps=0.1702, QPEps=0.0706)
Iter 479: *(NumConst=101, SV=48, CEps=0.1450, QPEps=0.0687)
Iter 480: *(NumConst=102, SV=50, CEps=0.1216, QPEps=0.0582)
Iter 481: *(NumConst=102, SV=51, CEps=0.1745, QPEps=0.0607)
Iter 482: *(NumConst=101, SV=48, CEps=0.1534, QPEps=0.0592)
Iter 483: *(NumConst=102, SV=50, CEps=0.1274, QPEps=0.0606)
Iter 484: *(NumConst=101, SV=46, CEps=0.1262, QPEps=0.0564)
Iter 485: *(NumConst=101, SV=45, CEps=0.1198, QPEps=0.0592)
Iter 486: *(NumConst=102, SV=45, CEps=0.1627, QPEps=0.0597)
Iter 487: *(NumConst=103, SV=48, CEps=0.1242, QPEps=0.0569)
Iter 488: *(NumConst=104, SV=48, CEps=0.1401, QPEps=0.0583)
Iter 489: *(NumConst=105, SV=46, CEps=0.1493, QPEps=0.0568)
Iter 490: *(NumConst=106, SV=48, CEps=0.1169, QPEps=0.0553)
Iter 491: .........*(NumConst=106, SV=49, CEps=0.1980, QPEps=0.0915)
Iter 492: *(NumConst=107, SV=48, CEps=0.1452, QPEps=0.0629)
Iter 493: *(NumConst=107, SV=52, CEps=0.1049, QPEps=0.0513)
Iter 494: *(NumConst=108, SV=52, CEps=0.1319, QPEps=0.0502)
Iter 495: *(NumConst=107, SV=49, CEps=0.1265, QPEps=0.0498)
Iter 496: *(NumConst=107, SV=48, CEps=0.1043, QPEps=0.0504)
Iter 497: *(NumConst=107, SV=45, CEps=0.1409, QPEps=0.0519)
Iter 498: *(NumConst=105, SV=43, CEps=0.1351, QPEps=0.0515)
Iter 499: *(NumConst=106, SV=43, CEps=0.1291, QPEps=0.0513)
Iter 500: *(NumConst=106, SV=45, CEps=0.1018, QPEps=0.0469)
Iter 501: *(NumConst=107, SV=45, CEps=0.1046, QPEps=0.0471)
Iter 502: .........*(NumConst=107, SV=46, CEps=0.2039, QPEps=0.0708)
Iter 503: *(NumConst=108, SV=46, CEps=0.1382, QPEps=0.0669)
Iter 504: *(NumConst=109, SV=46, CEps=0.1059, QPEps=0.0519)
Iter 505: .........*(NumConst=110, SV=45, CEps=0.1234, QPEps=0.0528)
Iter 506: .........*(NumConst=110, SV=50, CEps=0.1111, QPEps=0.0514)
Iter 507: *(NumConst=110, SV=47, CEps=0.1195, QPEps=0.0492)
Iter 508: *(NumConst=110, SV=47, CEps=0.1149, QPEps=0.0539)
Iter 509: .........*(NumConst=111, SV=47, CEps=0.1356, QPEps=0.0391)
Iter 510: .........*(NumConst=112, SV=46, CEps=0.1090, QPEps=0.0537)
Iter 511: *(NumConst=111, SV=51, CEps=0.1055, QPEps=0.0516)
Iter 512: *(NumConst=112, SV=49, CEps=0.1440, QPEps=0.0496)
Iter 513: *(NumConst=111, SV=46, CEps=0.1410, QPEps=0.0497)
Iter 514: *(NumConst=110, SV=48, CEps=0.1020, QPEps=0.0500)
Iter 515: *(NumConst=108, SV=50, CEps=0.1207, QPEps=0.0501)
Iter 516: .........*(NumConst=106, SV=51, CEps=0.1840, QPEps=0.0537)
Iter 517: .........*(NumConst=106, SV=52, CEps=0.1476, QPEps=0.0526)
Iter 518: .........*(NumConst=107, SV=46, CEps=0.1014, QPEps=0.0484)
Iter 519: *(NumConst=107, SV=46, CEps=0.1356, QPEps=0.0455)
Iter 520: .........*(NumConst=108, SV=45, CEps=0.1536, QPEps=0.0426)
Iter 521: *(NumConst=108, SV=49, CEps=0.1074, QPEps=0.0442)
Iter 522: *(NumConst=109, SV=48, CEps=0.1110, QPEps=0.0343)
Iter 523: .........*(NumConst=110, SV=48, CEps=0.1127, QPEps=0.0450)
Iter 524: .........*(NumConst=111, SV=49, CEps=0.1068, QPEps=0.0505)
Iter 525: .........*(NumConst=112, SV=50, CEps=0.1217, QPEps=0.0466)
Iter 526: .........*(NumConst=113, SV=52, CEps=0.1005, QPEps=0.0483)
Iter 527: .........*(NumConst=113, SV=51, CEps=0.1644, QPEps=0.0485)
Iter 528: *(NumConst=114, SV=53, CEps=0.1131, QPEps=0.0418)
Iter 529: *(NumConst=115, SV=55, CEps=0.1002, QPEps=0.0494)
Iter 530: *(NumConst=115, SV=54, CEps=0.1003, QPEps=0.0467)
Iter 531: .........*(NumConst=114, SV=54, CEps=0.1608, QPEps=0.0429)
Iter 532: .........*(NumConst=112, SV=56, CEps=0.1133, QPEps=0.0464)
Iter 533: *(NumConst=110, SV=53, CEps=0.1057, QPEps=0.0483)
Iter 534: .........*(NumConst=110, SV=55, CEps=0.1073, QPEps=0.0491)
Iter 535: .........(NumConst=110, SV=55, CEps=0.0892, QPEps=0.0491)
Final epsilon on KKT-Conditions: 0.08924
Upper bound on duality gap: 161.39382
Dual objective value: dval=3230.49579
Primal objective value: pval=3391.88961
Total number of constraints in final working set: 110 (of 534)
Number of iterations: 535
Number of calls to 'find_most_violated_constraint': 764337
Number of SV: 55 
Norm of weight vector: |w|=43.21198
Value of slack variable (on working set): xi=1.14184
Value of slack variable (global): xi=1.20169
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=2.99305
Runtime in cpu-seconds: 75.21
Final number of constraints in cache: 74916
Viterbi timing: CreateTransEmitMatrix=911.000000 Viterbi=631.000000
Compacting linear model...done
Writing learned model...done
=== END program1: ./run learn ../dataset2/train --- OK [210s]

===== 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 [3s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
read 4 templates from "template"
Reading model...done.
Reading test examples... 14987 examples, 204567 tokens, 23656 features, 10 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.18
Average loss on test set: 13.6496
Zero/one-error on test set: 100.00% (0 correct, 14987 incorrect, 14987 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [28s]
=== 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 [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
read 4 templates from "template"
Reading model...done.
Reading test examples... 3684 examples, 46666 tokens, 23421 features, 10 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.06
Average loss on test set: 12.6672
Zero/one-error on test set: 100.00% (0 correct, 3684 incorrect, 3684 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [7s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [4s]


real	4m52.668s
user	1m51.531s
sys	0m9.589s

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