Reading training examples...done
Training set properties: 19 features, 180 rankings, 15501 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.006856
Iter 1: .........*(NumConst=1, SV=1, CEps=1006.8556, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1016.4943, QPEps=0.0006)
Iter 3: .........*(NumConst=3, SV=3, CEps=2556.3088, QPEps=0.0053)
Iter 4: .........*(NumConst=4, SV=4, CEps=1949.6740, QPEps=0.0090)
Iter 5: .........*(NumConst=5, SV=4, CEps=1390.9747, QPEps=0.0030)
Iter 6: .........*(NumConst=6, SV=5, CEps=1042.9190, QPEps=0.0007)
Iter 7: .........*(NumConst=7, SV=5, CEps=1850.1692, QPEps=0.0045)
Iter 8: .........*(NumConst=8, SV=6, CEps=4974.1262, QPEps=0.0150)
Iter 9: .........*(NumConst=9, SV=7, CEps=5571.6537, QPEps=0.0132)
Iter 10: .........*(NumConst=10, SV=7, CEps=1764.4028, QPEps=40.8779)
Iter 11: .........*(NumConst=11, SV=8, CEps=1090.9453, QPEps=4.6762)
Iter 12: .........*(NumConst=12, SV=9, CEps=625.5777, QPEps=0.0036)
Iter 13: .........*(NumConst=13, SV=11, CEps=758.3217, QPEps=12.4811)
Iter 14: .........*(NumConst=14, SV=11, CEps=372.5672, QPEps=6.2699)
Iter 15: .........*(NumConst=15, SV=10, CEps=424.1368, QPEps=0.0014)
Iter 16: .........*(NumConst=16, SV=11, CEps=349.2774, QPEps=32.9796)
Iter 17: .........*(NumConst=17, SV=11, CEps=345.8492, QPEps=32.8275)
Iter 18: .........*(NumConst=18, SV=12, CEps=398.8598, QPEps=35.2308)
Iter 19: .........*(NumConst=19, SV=12, CEps=401.3523, QPEps=6.5670)
Iter 20: .........*(NumConst=20, SV=11, CEps=285.4138, QPEps=41.9773)
Iter 21: .........*(NumConst=21, SV=12, CEps=212.5324, QPEps=17.5172)
Iter 22: .........*(NumConst=22, SV=13, CEps=379.2132, QPEps=30.1079)
Iter 23: .........*(NumConst=23, SV=14, CEps=333.0415, QPEps=48.8871)
Iter 24: .........*(NumConst=24, SV=15, CEps=227.3871, QPEps=49.4674)
Iter 25: .........*(NumConst=25, SV=12, CEps=258.0818, QPEps=46.2776)
Iter 26: .........*(NumConst=26, SV=15, CEps=216.6097, QPEps=32.4398)
Iter 27: .........*(NumConst=27, SV=15, CEps=292.2886, QPEps=32.2712)
Iter 28: .........*(NumConst=28, SV=16, CEps=236.3257, QPEps=47.5594)
Iter 29: .........*(NumConst=29, SV=14, CEps=163.1206, QPEps=38.9876)
Iter 30: .........*(NumConst=30, SV=15, CEps=151.1232, QPEps=35.0858)
Iter 31: .........*(NumConst=31, SV=15, CEps=239.9241, QPEps=41.4523)
Iter 32: .........*(NumConst=32, SV=18, CEps=192.3400, QPEps=36.9131)
Iter 33: .........*(NumConst=33, SV=15, CEps=119.7731, QPEps=40.8064)
Iter 34: .........*(NumConst=34, SV=16, CEps=125.2843, QPEps=38.1400)
Iter 35: .........*(NumConst=35, SV=14, CEps=130.7759, QPEps=45.4247)
Iter 36: .........*(NumConst=36, SV=14, CEps=104.6951, QPEps=45.5944)
Iter 37: .........*(NumConst=37, SV=13, CEps=168.3541, QPEps=42.9691)
Iter 38: .........*(NumConst=38, SV=16, CEps=110.8590, QPEps=38.9842)
Iter 39: .........*(NumConst=39, SV=17, CEps=126.7967, QPEps=47.8641)
Iter 40: .........*(NumConst=40, SV=16, CEps=136.7231, QPEps=48.2798)
Iter 41: .........*(NumConst=41, SV=16, CEps=85.1842, QPEps=33.2987)
Iter 42: .........*(NumConst=42, SV=18, CEps=107.6212, QPEps=40.4170)
Iter 43: .........*(NumConst=43, SV=16, CEps=119.0018, QPEps=33.6628)
Iter 44: .........*(NumConst=44, SV=15, CEps=63.5143, QPEps=25.6427)
Iter 45: .........*(NumConst=45, SV=18, CEps=133.4851, QPEps=28.6954)
Iter 46: .........*(NumConst=46, SV=17, CEps=128.9571, QPEps=16.1175)
Iter 47: .........*(NumConst=47, SV=15, CEps=95.8077, QPEps=27.4470)
Iter 48: .........*(NumConst=48, SV=16, CEps=105.2938, QPEps=8.8931)
Iter 49: .........*(NumConst=49, SV=20, CEps=69.3894, QPEps=24.6604)
Iter 50: .........*(NumConst=50, SV=17, CEps=103.5630, QPEps=24.9241)
Iter 51: .........*(NumConst=51, SV=17, CEps=98.5702, QPEps=28.2675)
Iter 52: .........*(NumConst=52, SV=20, CEps=57.3037, QPEps=25.0440)
Iter 53: .........*(NumConst=53, SV=19, CEps=131.0649, QPEps=23.8824)
Iter 54: .........*(NumConst=54, SV=17, CEps=69.3345, QPEps=13.5844)
Iter 55: .........*(NumConst=55, SV=18, CEps=83.1295, QPEps=27.4347)
Iter 56: .........*(NumConst=55, SV=17, CEps=86.6254, QPEps=10.6657)
Iter 57: .........*(NumConst=56, SV=17, CEps=69.6550, QPEps=16.5240)
Iter 58: .........*(NumConst=57, SV=17, CEps=64.3496, QPEps=25.9542)
Iter 59: .........*(NumConst=58, SV=17, CEps=58.2711, QPEps=16.5633)
Iter 60: .........*(NumConst=59, SV=18, CEps=65.9087, QPEps=28.3412)
Iter 61: .........*(NumConst=60, SV=19, CEps=37.8474, QPEps=18.1326)
Iter 62: .........*(NumConst=61, SV=19, CEps=77.1614, QPEps=16.5776)
Iter 63: .........*(NumConst=61, SV=16, CEps=56.2449, QPEps=11.3865)
Iter 64: .........*(NumConst=61, SV=16, CEps=56.2052, QPEps=17.8244)
Iter 65: .........*(NumConst=62, SV=19, CEps=32.7156, QPEps=14.8396)
Iter 66: .........*(NumConst=63, SV=16, CEps=52.1705, QPEps=14.9050)
Iter 67: .........*(NumConst=64, SV=18, CEps=50.4795, QPEps=15.2402)
Iter 68: .........*(NumConst=64, SV=16, CEps=52.1908, QPEps=14.1270)
Iter 69: .........*(NumConst=65, SV=18, CEps=40.5290, QPEps=14.7144)
Iter 70: .........*(NumConst=65, SV=20, CEps=39.8539, QPEps=13.1947)
Iter 71: .........*(NumConst=66, SV=19, CEps=36.3849, QPEps=15.7106)
Iter 72: .........*(NumConst=67, SV=20, CEps=33.7760, QPEps=10.8647)
Iter 73: .........*(NumConst=66, SV=20, CEps=27.4044, QPEps=10.3575)
Iter 74: .........*(NumConst=66, SV=20, CEps=25.5514, QPEps=8.4195)
Iter 75: .........*(NumConst=66, SV=22, CEps=24.3564, QPEps=9.0779)
Iter 76: .........*(NumConst=67, SV=22, CEps=31.0145, QPEps=8.3315)
Iter 77: .........*(NumConst=67, SV=20, CEps=21.0208, QPEps=8.9069)
Iter 78: .........*(NumConst=68, SV=20, CEps=20.0444, QPEps=8.7824)
Iter 79: .........*(NumConst=68, SV=17, CEps=19.6294, QPEps=6.6739)
Iter 80: .........*(NumConst=69, SV=17, CEps=32.0538, QPEps=9.4819)
Iter 81: .........*(NumConst=70, SV=18, CEps=19.6958, QPEps=3.8573)
Iter 82: .........*(NumConst=69, SV=20, CEps=17.9449, QPEps=6.4481)
Iter 83: .........*(NumConst=70, SV=20, CEps=21.8235, QPEps=7.8521)
Iter 84: .........*(NumConst=71, SV=20, CEps=18.8380, QPEps=6.2098)
Iter 85: .........*(NumConst=70, SV=20, CEps=17.7363, QPEps=8.8625)
Iter 86: .........*(NumConst=69, SV=19, CEps=14.3997, QPEps=7.0446)
Iter 87: .........*(NumConst=70, SV=17, CEps=14.3450, QPEps=5.4364)
Iter 88: .........*(NumConst=71, SV=20, CEps=12.9967, QPEps=4.5113)
Iter 89: .........*(NumConst=72, SV=20, CEps=12.6321, QPEps=5.1991)
Iter 90: .........*(NumConst=72, SV=19, CEps=20.6932, QPEps=4.2089)
Iter 91: .........*(NumConst=72, SV=19, CEps=9.9983, QPEps=4.7680)
Iter 92: .........*(NumConst=70, SV=21, CEps=14.9281, QPEps=4.3902)
Iter 93: .........*(NumConst=70, SV=20, CEps=15.4866, QPEps=4.4952)
Iter 94: .........*(NumConst=70, SV=18, CEps=12.8602, QPEps=4.2348)
Iter 95: .........*(NumConst=70, SV=19, CEps=8.9791, QPEps=4.1542)
Iter 96: .........*(NumConst=69, SV=18, CEps=10.5007, QPEps=3.1750)
Iter 97: .........*(NumConst=70, SV=19, CEps=7.7754, QPEps=2.2675)
Iter 98: .........*(NumConst=71, SV=17, CEps=12.5424, QPEps=1.5188)
Iter 99: .........*(NumConst=70, SV=16, CEps=13.2739, QPEps=3.5745)
Iter 100: .........*(NumConst=71, SV=20, CEps=7.9326, QPEps=3.4753)
Iter 101: .........*(NumConst=72, SV=19, CEps=11.2459, QPEps=2.9087)
Iter 102: .........*(NumConst=72, SV=20, CEps=6.4527, QPEps=3.0334)
Iter 103: .........*(NumConst=72, SV=19, CEps=7.9947, QPEps=2.8421)
Iter 104: .........*(NumConst=72, SV=20, CEps=5.4919, QPEps=2.3533)
Iter 105: .........*(NumConst=71, SV=19, CEps=10.1327, QPEps=1.2724)
Iter 106: .........*(NumConst=71, SV=18, CEps=5.8090, QPEps=1.2799)
Iter 107: .........*(NumConst=70, SV=18, CEps=6.3580, QPEps=0.8095)
Iter 108: .........*(NumConst=70, SV=20, CEps=5.2944, QPEps=2.0774)
Iter 109: .........*(NumConst=71, SV=22, CEps=6.9003, QPEps=2.2252)
Iter 110: .........*(NumConst=72, SV=20, CEps=5.8763, QPEps=2.3932)
Iter 111: .........*(NumConst=72, SV=22, CEps=5.7797, QPEps=2.2475)
Iter 112: .........*(NumConst=71, SV=20, CEps=5.5444, QPEps=2.4025)
Iter 113: .........*(NumConst=71, SV=21, CEps=3.8330, QPEps=1.7647)
Iter 114: .........*(NumConst=72, SV=22, CEps=7.5322, QPEps=1.3685)
Iter 115: .........*(NumConst=71, SV=22, CEps=5.2669, QPEps=1.9131)
Iter 116: .........*(NumConst=72, SV=21, CEps=6.2940, QPEps=1.7026)
Iter 117: .........*(NumConst=72, SV=22, CEps=4.1998, QPEps=1.9000)
Iter 118: .........*(NumConst=72, SV=20, CEps=6.4724, QPEps=1.4033)
Iter 119: .........*(NumConst=73, SV=18, CEps=4.0362, QPEps=1.0052)
Iter 120: .........*(NumConst=72, SV=21, CEps=3.5991, QPEps=1.2665)
Iter 121: .........*(NumConst=72, SV=19, CEps=3.2960, QPEps=1.2846)
Iter 122: .........*(NumConst=72, SV=18, CEps=4.0953, QPEps=1.5853)
Iter 123: .........*(NumConst=73, SV=19, CEps=2.7298, QPEps=0.9871)
Iter 124: .........*(NumConst=73, SV=20, CEps=4.4041, QPEps=1.2965)
Iter 125: .........*(NumConst=73, SV=18, CEps=3.5061, QPEps=1.2013)
Iter 126: .........*(NumConst=71, SV=18, CEps=2.4027, QPEps=0.6613)
Iter 127: .........*(NumConst=72, SV=20, CEps=2.7500, QPEps=1.1218)
Iter 128: .........*(NumConst=71, SV=19, CEps=3.6011, QPEps=0.9489)
Iter 129: .........*(NumConst=71, SV=19, CEps=2.5212, QPEps=0.9546)
Iter 130: .........*(NumConst=72, SV=18, CEps=2.5303, QPEps=1.0602)
Iter 131: .........*(NumConst=72, SV=20, CEps=1.8761, QPEps=0.7363)
Iter 132: .........*(NumConst=71, SV=18, CEps=2.2709, QPEps=0.5516)
Iter 133: .........*(NumConst=71, SV=20, CEps=2.2815, QPEps=0.8120)
Iter 134: .........*(NumConst=71, SV=21, CEps=2.1997, QPEps=0.6930)
Iter 135: .........*(NumConst=72, SV=21, CEps=1.8868, QPEps=0.9310)
Iter 136: .........*(NumConst=72, SV=19, CEps=2.3253, QPEps=0.5416)
Iter 137: .........*(NumConst=73, SV=19, CEps=1.6316, QPEps=0.5748)
Iter 138: .........*(NumConst=73, SV=18, CEps=2.5884, QPEps=0.5214)
Iter 139: .........*(NumConst=71, SV=19, CEps=2.4792, QPEps=0.7703)
Iter 140: .........*(NumConst=71, SV=18, CEps=1.6431, QPEps=0.6691)
Iter 141: .........*(NumConst=72, SV=18, CEps=1.6109, QPEps=0.7325)
Iter 142: .........(NumConst=72, SV=18, CEps=0.9817, QPEps=0.7325)
Final epsilon on KKT-Conditions: 0.98167
Upper bound on duality gap: 1.19670
Dual objective value: dval=629.19857
Primal objective value: pval=630.39527
Total number of constraints in final working set: 72 (of 141)
Number of iterations: 142
Number of calls to 'find_most_violated_constraint': 25560
Number of SV: 18 
Norm of weight vector: |w|=1.79238
Value of slack variable (on working set): xi=627.80729
Value of slack variable (global): xi=628.78896
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=940.74502
Runtime in cpu-seconds: 0.55
Compacting linear model...done
Writing learned model...done