Reading training examples...done
Training set properties: 19 features, 180 rankings, 15573 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.987111
Iter 1: .........*(NumConst=1, SV=1, CEps=987.1111, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1031.1979, QPEps=0.0009)
Iter 3: .........*(NumConst=3, SV=3, CEps=2437.3495, QPEps=0.0020)
Iter 4: .........*(NumConst=4, SV=4, CEps=1843.4279, QPEps=0.0037)
Iter 5: .........*(NumConst=5, SV=4, CEps=1552.8442, QPEps=0.0038)
Iter 6: .........*(NumConst=6, SV=5, CEps=1200.6286, QPEps=0.0012)
Iter 7: .........*(NumConst=7, SV=5, CEps=1069.9079, QPEps=0.0087)
Iter 8: .........*(NumConst=8, SV=6, CEps=5200.0905, QPEps=0.0123)
Iter 9: .........*(NumConst=9, SV=7, CEps=5812.8782, QPEps=49.6490)
Iter 10: .........*(NumConst=10, SV=8, CEps=3054.6329, QPEps=33.7286)
Iter 11: .........*(NumConst=11, SV=10, CEps=1397.4114, QPEps=30.5018)
Iter 12: .........*(NumConst=12, SV=9, CEps=862.2708, QPEps=0.0053)
Iter 13: .........*(NumConst=13, SV=10, CEps=461.2448, QPEps=0.0009)
Iter 14: .........*(NumConst=14, SV=11, CEps=701.1720, QPEps=31.2662)
Iter 15: .........*(NumConst=15, SV=11, CEps=463.1847, QPEps=33.3955)
Iter 16: .........*(NumConst=16, SV=11, CEps=461.4547, QPEps=45.3869)
Iter 17: .........*(NumConst=17, SV=11, CEps=447.6304, QPEps=46.2397)
Iter 18: .........*(NumConst=18, SV=14, CEps=291.8151, QPEps=32.8930)
Iter 19: .........*(NumConst=19, SV=12, CEps=295.0948, QPEps=37.3318)
Iter 20: .........*(NumConst=20, SV=12, CEps=268.1195, QPEps=40.7138)
Iter 21: .........*(NumConst=21, SV=13, CEps=363.0971, QPEps=36.6574)
Iter 22: .........*(NumConst=22, SV=11, CEps=302.4848, QPEps=27.8684)
Iter 23: .........*(NumConst=23, SV=11, CEps=231.6732, QPEps=25.3030)
Iter 24: .........*(NumConst=24, SV=13, CEps=204.4886, QPEps=27.7426)
Iter 25: .........*(NumConst=25, SV=14, CEps=233.1717, QPEps=42.0755)
Iter 26: .........*(NumConst=26, SV=16, CEps=411.2536, QPEps=49.4831)
Iter 27: .........*(NumConst=27, SV=13, CEps=229.8570, QPEps=31.8229)
Iter 28: .........*(NumConst=28, SV=13, CEps=229.7114, QPEps=41.6949)
Iter 29: .........*(NumConst=29, SV=12, CEps=317.9162, QPEps=44.6568)
Iter 30: .........*(NumConst=30, SV=13, CEps=218.7828, QPEps=17.2203)
Iter 31: .........*(NumConst=31, SV=12, CEps=200.3954, QPEps=33.0137)
Iter 32: .........*(NumConst=32, SV=14, CEps=216.4811, QPEps=42.8118)
Iter 33: .........*(NumConst=33, SV=14, CEps=261.2557, QPEps=46.2037)
Iter 34: .........*(NumConst=34, SV=12, CEps=207.2124, QPEps=26.6381)
Iter 35: .........*(NumConst=35, SV=13, CEps=214.6019, QPEps=37.1811)
Iter 36: .........*(NumConst=36, SV=12, CEps=172.3498, QPEps=47.4415)
Iter 37: .........*(NumConst=37, SV=16, CEps=105.2552, QPEps=37.8700)
Iter 38: .........*(NumConst=38, SV=14, CEps=179.4141, QPEps=46.6193)
Iter 39: .........*(NumConst=39, SV=16, CEps=189.9431, QPEps=38.5776)
Iter 40: .........*(NumConst=40, SV=17, CEps=102.6235, QPEps=47.8729)
Iter 41: .........*(NumConst=41, SV=17, CEps=94.4826, QPEps=27.6220)
Iter 42: .........*(NumConst=42, SV=14, CEps=108.2190, QPEps=37.7374)
Iter 43: .........*(NumConst=43, SV=13, CEps=114.4207, QPEps=34.7663)
Iter 44: .........*(NumConst=44, SV=16, CEps=158.5005, QPEps=22.5502)
Iter 45: .........*(NumConst=45, SV=14, CEps=127.8073, QPEps=41.1283)
Iter 46: .........*(NumConst=46, SV=14, CEps=137.3235, QPEps=46.9068)
Iter 47: .........*(NumConst=47, SV=16, CEps=60.9290, QPEps=26.2623)
Iter 48: .........*(NumConst=48, SV=13, CEps=89.0065, QPEps=20.1142)
Iter 49: .........*(NumConst=49, SV=16, CEps=79.4033, QPEps=25.8578)
Iter 50: .........*(NumConst=50, SV=17, CEps=78.2162, QPEps=26.5217)
Iter 51: .........*(NumConst=51, SV=16, CEps=75.8661, QPEps=25.4948)
Iter 52: .........*(NumConst=52, SV=16, CEps=74.2956, QPEps=17.5900)
Iter 53: .........*(NumConst=53, SV=17, CEps=59.5197, QPEps=20.0690)
Iter 54: .........*(NumConst=54, SV=18, CEps=64.4450, QPEps=26.9053)
Iter 55: .........*(NumConst=55, SV=20, CEps=50.3482, QPEps=14.2647)
Iter 56: .........*(NumConst=56, SV=16, CEps=76.2372, QPEps=12.0451)
Iter 57: .........*(NumConst=57, SV=16, CEps=54.6257, QPEps=21.6876)
Iter 58: .........*(NumConst=58, SV=16, CEps=43.3981, QPEps=11.2389)
Iter 59: .........*(NumConst=59, SV=15, CEps=52.2778, QPEps=12.8164)
Iter 60: .........*(NumConst=60, SV=15, CEps=56.1323, QPEps=17.7197)
Iter 61: .........*(NumConst=61, SV=16, CEps=48.0708, QPEps=13.5016)
Iter 62: .........*(NumConst=62, SV=16, CEps=40.0874, QPEps=19.3187)
Iter 63: .........*(NumConst=63, SV=17, CEps=40.6800, QPEps=19.7165)
Iter 64: .........*(NumConst=64, SV=16, CEps=25.0216, QPEps=10.5825)
Iter 65: .........*(NumConst=65, SV=15, CEps=30.4983, QPEps=12.4470)
Iter 66: .........*(NumConst=66, SV=17, CEps=34.2664, QPEps=11.0912)
Iter 67: .........*(NumConst=67, SV=17, CEps=36.5660, QPEps=11.8719)
Iter 68: .........*(NumConst=64, SV=18, CEps=42.8513, QPEps=11.7467)
Iter 69: .........*(NumConst=64, SV=18, CEps=32.1153, QPEps=10.0643)
Iter 70: .........*(NumConst=64, SV=20, CEps=28.3156, QPEps=12.0571)
Iter 71: .........*(NumConst=64, SV=19, CEps=30.9406, QPEps=12.0973)
Iter 72: .........*(NumConst=65, SV=17, CEps=27.5353, QPEps=12.1141)
Iter 73: .........*(NumConst=66, SV=17, CEps=37.7297, QPEps=12.1648)
Iter 74: .........*(NumConst=67, SV=20, CEps=27.3937, QPEps=8.0905)
Iter 75: .........*(NumConst=68, SV=21, CEps=26.9534, QPEps=10.3564)
Iter 76: .........*(NumConst=67, SV=18, CEps=24.6842, QPEps=8.7903)
Iter 77: .........*(NumConst=67, SV=16, CEps=19.5548, QPEps=6.4578)
Iter 78: .........*(NumConst=68, SV=17, CEps=15.9353, QPEps=6.5051)
Iter 79: .........*(NumConst=68, SV=20, CEps=17.9482, QPEps=6.4546)
Iter 80: .........*(NumConst=68, SV=17, CEps=25.8797, QPEps=6.0149)
Iter 81: .........*(NumConst=68, SV=19, CEps=15.0613, QPEps=4.8989)
Iter 82: .........*(NumConst=68, SV=17, CEps=29.2694, QPEps=4.4429)
Iter 83: .........*(NumConst=68, SV=18, CEps=23.7909, QPEps=5.3723)
Iter 84: .........*(NumConst=69, SV=19, CEps=20.1144, QPEps=4.5342)
Iter 85: .........*(NumConst=70, SV=20, CEps=13.0900, QPEps=5.8696)
Iter 86: .........*(NumConst=71, SV=19, CEps=13.2986, QPEps=4.9748)
Iter 87: .........*(NumConst=70, SV=21, CEps=12.4437, QPEps=5.2770)
Iter 88: .........*(NumConst=71, SV=20, CEps=17.3589, QPEps=5.4469)
Iter 89: .........*(NumConst=71, SV=19, CEps=13.6933, QPEps=5.0352)
Iter 90: .........*(NumConst=71, SV=18, CEps=15.0120, QPEps=5.7584)
Iter 91: .........*(NumConst=70, SV=17, CEps=11.1191, QPEps=2.4829)
Iter 92: .........*(NumConst=71, SV=17, CEps=7.3774, QPEps=3.6203)
Iter 93: .........*(NumConst=72, SV=19, CEps=12.2724, QPEps=2.9189)
Iter 94: .........*(NumConst=71, SV=17, CEps=9.7669, QPEps=1.8904)
Iter 95: .........*(NumConst=70, SV=18, CEps=8.6969, QPEps=2.9737)
Iter 96: .........*(NumConst=71, SV=16, CEps=12.3966, QPEps=2.8747)
Iter 97: .........*(NumConst=69, SV=15, CEps=8.7761, QPEps=2.2601)
Iter 98: .........*(NumConst=70, SV=18, CEps=6.5072, QPEps=2.7504)
Iter 99: .........*(NumConst=70, SV=19, CEps=11.8836, QPEps=2.8102)
Iter 100: .........*(NumConst=70, SV=20, CEps=9.6701, QPEps=2.9715)
Iter 101: .........*(NumConst=71, SV=19, CEps=9.0527, QPEps=2.6468)
Iter 102: .........*(NumConst=72, SV=17, CEps=9.2467, QPEps=2.5123)
Iter 103: .........*(NumConst=73, SV=18, CEps=6.5857, QPEps=2.3875)
Iter 104: .........*(NumConst=71, SV=16, CEps=5.8976, QPEps=2.3306)
Iter 105: .........*(NumConst=71, SV=19, CEps=6.0726, QPEps=1.8501)
Iter 106: .........*(NumConst=71, SV=19, CEps=6.4868, QPEps=2.1220)
Iter 107: .........*(NumConst=72, SV=18, CEps=6.1827, QPEps=2.8481)
Iter 108: .........*(NumConst=72, SV=17, CEps=4.9159, QPEps=2.2858)
Iter 109: .........*(NumConst=72, SV=18, CEps=5.0731, QPEps=1.7015)
Iter 110: .........*(NumConst=72, SV=16, CEps=4.9425, QPEps=2.2868)
Iter 111: .........*(NumConst=72, SV=15, CEps=5.5264, QPEps=0.6333)
Iter 112: .........*(NumConst=73, SV=18, CEps=3.7205, QPEps=1.0598)
Iter 113: .........*(NumConst=73, SV=17, CEps=4.2098, QPEps=1.0929)
Iter 114: .........*(NumConst=74, SV=19, CEps=4.1164, QPEps=1.7995)
Iter 115: .........*(NumConst=74, SV=18, CEps=6.6518, QPEps=1.4942)
Iter 116: .........*(NumConst=74, SV=18, CEps=3.7017, QPEps=0.9799)
Iter 117: .........*(NumConst=74, SV=17, CEps=3.4457, QPEps=0.7647)
Iter 118: .........*(NumConst=74, SV=16, CEps=4.6867, QPEps=0.8214)
Iter 119: .........*(NumConst=74, SV=18, CEps=2.4337, QPEps=0.8661)
Iter 120: .........*(NumConst=74, SV=15, CEps=3.3370, QPEps=1.1741)
Iter 121: .........*(NumConst=73, SV=17, CEps=3.8438, QPEps=0.9421)
Iter 122: .........*(NumConst=74, SV=17, CEps=2.6283, QPEps=0.9442)
Iter 123: .........*(NumConst=75, SV=19, CEps=3.0519, QPEps=1.1660)
Iter 124: .........*(NumConst=74, SV=18, CEps=2.3861, QPEps=1.1034)
Iter 125: .........*(NumConst=73, SV=18, CEps=4.2893, QPEps=1.0719)
Iter 126: .........*(NumConst=73, SV=19, CEps=3.4763, QPEps=1.0962)
Iter 127: .........*(NumConst=74, SV=15, CEps=1.7548, QPEps=0.3587)
Iter 128: .........*(NumConst=75, SV=15, CEps=3.1283, QPEps=0.5253)
Iter 129: .........*(NumConst=75, SV=17, CEps=2.8452, QPEps=0.7610)
Iter 130: .........*(NumConst=75, SV=16, CEps=2.0665, QPEps=0.6319)
Iter 131: .........*(NumConst=75, SV=16, CEps=2.0878, QPEps=0.6988)
Iter 132: .........*(NumConst=75, SV=16, CEps=2.0589, QPEps=0.7592)
Iter 133: .........*(NumConst=76, SV=17, CEps=2.3459, QPEps=0.6171)
Iter 134: .........*(NumConst=77, SV=17, CEps=2.0275, QPEps=0.7585)
Iter 135: .........*(NumConst=75, SV=18, CEps=1.2473, QPEps=0.0434)
Iter 136: .........*(NumConst=73, SV=17, CEps=1.8737, QPEps=0.2802)
Iter 137: .........*(NumConst=73, SV=17, CEps=1.6971, QPEps=0.5910)
Iter 138: .........*(NumConst=72, SV=17, CEps=1.2727, QPEps=0.5596)
Iter 139: .........*(NumConst=71, SV=17, CEps=1.1101, QPEps=0.5464)
Iter 140: .........*(NumConst=71, SV=20, CEps=1.0804, QPEps=0.4153)
Iter 141: .........*(NumConst=71, SV=15, CEps=1.6698, QPEps=0.3231)
Iter 142: .........*(NumConst=72, SV=16, CEps=1.6919, QPEps=0.4539)
Iter 143: .........(NumConst=72, SV=16, CEps=0.9432, QPEps=0.4539)
Final epsilon on KKT-Conditions: 0.94322
Upper bound on duality gap: 0.88824
Dual objective value: dval=618.39144
Primal objective value: pval=619.27968
Total number of constraints in final working set: 72 (of 142)
Number of iterations: 143
Number of calls to 'find_most_violated_constraint': 25740
Number of SV: 16 
Norm of weight vector: |w|=1.80091
Value of slack variable (on working set): xi=617.16866
Value of slack variable (global): xi=617.65805
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=541.92750
Runtime in cpu-seconds: 0.69
Compacting linear model...done
Writing learned model...done