Reading training examples...done
Training set properties: 25 features, 180 rankings, 15470 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.975389
Iter 1: .........*(NumConst=1, SV=1, CEps=975.3889, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=777.2931, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=2, CEps=1345.8134, QPEps=0.0009)
Iter 4: .........*(NumConst=4, SV=3, CEps=1599.6306, QPEps=0.0037)
Iter 5: .........*(NumConst=5, SV=4, CEps=2465.6126, QPEps=0.0310)
Iter 6: .........*(NumConst=6, SV=5, CEps=3663.3937, QPEps=0.0519)
Iter 7: .........*(NumConst=7, SV=5, CEps=2539.9874, QPEps=17.0092)
Iter 8: .........*(NumConst=8, SV=6, CEps=2073.2713, QPEps=48.7982)
Iter 9: .........*(NumConst=9, SV=8, CEps=1980.9004, QPEps=0.0273)
Iter 10: .........*(NumConst=10, SV=9, CEps=691.4531, QPEps=36.0724)
Iter 11: .........*(NumConst=11, SV=10, CEps=568.0149, QPEps=0.0972)
Iter 12: .........*(NumConst=12, SV=10, CEps=437.3237, QPEps=16.7776)
Iter 13: .........*(NumConst=13, SV=10, CEps=497.7851, QPEps=0.0026)
Iter 14: .........*(NumConst=14, SV=10, CEps=379.5151, QPEps=0.0006)
Iter 15: .........*(NumConst=15, SV=9, CEps=284.9603, QPEps=25.3009)
Iter 16: .........*(NumConst=16, SV=10, CEps=281.8683, QPEps=42.1679)
Iter 17: .........*(NumConst=17, SV=10, CEps=358.0936, QPEps=21.7119)
Iter 18: .........*(NumConst=18, SV=10, CEps=370.4927, QPEps=0.0005)
Iter 19: .........*(NumConst=19, SV=10, CEps=322.7981, QPEps=19.7395)
Iter 20: .........*(NumConst=20, SV=10, CEps=220.8718, QPEps=0.0012)
Iter 21: .........*(NumConst=21, SV=11, CEps=367.2433, QPEps=48.0745)
Iter 22: .........*(NumConst=22, SV=10, CEps=178.4066, QPEps=0.0013)
Iter 23: .........*(NumConst=23, SV=10, CEps=152.0374, QPEps=0.0041)
Iter 24: .........*(NumConst=24, SV=10, CEps=310.2137, QPEps=5.0135)
Iter 25: .........*(NumConst=25, SV=10, CEps=208.6275, QPEps=0.0016)
Iter 26: .........*(NumConst=26, SV=10, CEps=171.9812, QPEps=0.0007)
Iter 27: .........*(NumConst=27, SV=9, CEps=221.3304, QPEps=0.0003)
Iter 28: .........*(NumConst=28, SV=11, CEps=88.1301, QPEps=24.3970)
Iter 29: .........*(NumConst=29, SV=9, CEps=113.5590, QPEps=0.0016)
Iter 30: .........*(NumConst=30, SV=10, CEps=142.8949, QPEps=12.5414)
Iter 31: .........*(NumConst=31, SV=11, CEps=133.0657, QPEps=5.6940)
Iter 32: .........*(NumConst=32, SV=11, CEps=84.1628, QPEps=35.7385)
Iter 33: .........*(NumConst=33, SV=11, CEps=119.6777, QPEps=0.0002)
Iter 34: .........*(NumConst=34, SV=10, CEps=68.3502, QPEps=16.2737)
Iter 35: .........*(NumConst=35, SV=11, CEps=107.1460, QPEps=0.0002)
Iter 36: .........*(NumConst=36, SV=11, CEps=53.9994, QPEps=22.1052)
Iter 37: .........*(NumConst=37, SV=10, CEps=71.8997, QPEps=0.0001)
Iter 38: .........*(NumConst=38, SV=10, CEps=66.4872, QPEps=9.8284)
Iter 39: .........*(NumConst=39, SV=11, CEps=57.0257, QPEps=21.4906)
Iter 40: .........*(NumConst=40, SV=11, CEps=66.7953, QPEps=0.0003)
Iter 41: .........*(NumConst=41, SV=11, CEps=39.8501, QPEps=14.3839)
Iter 42: .........*(NumConst=42, SV=11, CEps=57.9342, QPEps=0.0001)
Iter 43: .........*(NumConst=43, SV=12, CEps=42.9141, QPEps=11.8477)
Iter 44: .........*(NumConst=44, SV=11, CEps=27.8803, QPEps=12.0689)
Iter 45: .........*(NumConst=45, SV=14, CEps=45.2068, QPEps=11.1194)
Iter 46: .........*(NumConst=46, SV=11, CEps=40.8210, QPEps=3.2103)
Iter 47: .........*(NumConst=47, SV=11, CEps=31.1221, QPEps=7.8722)
Iter 48: .........*(NumConst=48, SV=12, CEps=30.6382, QPEps=4.1166)
Iter 49: .........*(NumConst=49, SV=13, CEps=32.4404, QPEps=10.2791)
Iter 50: .........*(NumConst=50, SV=13, CEps=33.8195, QPEps=8.2156)
Iter 51: .........*(NumConst=51, SV=13, CEps=43.4632, QPEps=5.9374)
Iter 52: .........*(NumConst=52, SV=13, CEps=20.6723, QPEps=8.3965)
Iter 53: .........*(NumConst=53, SV=11, CEps=16.6694, QPEps=6.3558)
Iter 54: .........*(NumConst=53, SV=12, CEps=16.1601, QPEps=6.9226)
Iter 55: .........*(NumConst=54, SV=12, CEps=21.1975, QPEps=8.0336)
Iter 56: .........*(NumConst=55, SV=13, CEps=18.9075, QPEps=4.2246)
Iter 57: .........*(NumConst=56, SV=12, CEps=23.2506, QPEps=0.0000)
Iter 58: .........*(NumConst=57, SV=12, CEps=16.8977, QPEps=0.0000)
Iter 59: .........*(NumConst=58, SV=12, CEps=16.6669, QPEps=1.5519)
Iter 60: .........*(NumConst=59, SV=13, CEps=11.6795, QPEps=2.0593)
Iter 61: .........*(NumConst=60, SV=13, CEps=20.9666, QPEps=3.6874)
Iter 62: .........*(NumConst=61, SV=15, CEps=9.9370, QPEps=2.5997)
Iter 63: .........*(NumConst=62, SV=14, CEps=15.2617, QPEps=2.2456)
Iter 64: .........*(NumConst=61, SV=13, CEps=9.4757, QPEps=3.0365)
Iter 65: .........*(NumConst=61, SV=12, CEps=11.5125, QPEps=1.1431)
Iter 66: .........*(NumConst=61, SV=12, CEps=10.4671, QPEps=0.0000)
Iter 67: .........*(NumConst=61, SV=13, CEps=7.9509, QPEps=2.1405)
Iter 68: .........*(NumConst=61, SV=12, CEps=13.0106, QPEps=2.9238)
Iter 69: .........*(NumConst=61, SV=12, CEps=6.0074, QPEps=1.8423)
Iter 70: .........*(NumConst=61, SV=12, CEps=10.3608, QPEps=0.7801)
Iter 71: .........*(NumConst=60, SV=11, CEps=10.1284, QPEps=0.0000)
Iter 72: .........*(NumConst=59, SV=14, CEps=5.6659, QPEps=2.0896)
Iter 73: .........*(NumConst=60, SV=13, CEps=8.3929, QPEps=2.6517)
Iter 74: .........*(NumConst=60, SV=14, CEps=6.4241, QPEps=2.7647)
Iter 75: .........*(NumConst=61, SV=14, CEps=6.0648, QPEps=2.1628)
Iter 76: .........*(NumConst=62, SV=13, CEps=7.2253, QPEps=1.0329)
Iter 77: .........*(NumConst=62, SV=14, CEps=7.1325, QPEps=0.7507)
Iter 78: .........*(NumConst=60, SV=16, CEps=4.8798, QPEps=1.3749)
Iter 79: .........*(NumConst=61, SV=13, CEps=6.1595, QPEps=1.8204)
Iter 80: .........*(NumConst=62, SV=13, CEps=5.5426, QPEps=1.4213)
Iter 81: .........*(NumConst=62, SV=13, CEps=5.8537, QPEps=2.0132)
Iter 82: .........*(NumConst=61, SV=11, CEps=2.7492, QPEps=0.0904)
Iter 83: .........*(NumConst=61, SV=14, CEps=5.5194, QPEps=0.7385)
Iter 84: .........*(NumConst=62, SV=13, CEps=4.0866, QPEps=1.1859)
Iter 85: .........*(NumConst=60, SV=11, CEps=2.7114, QPEps=0.1433)
Iter 86: .........*(NumConst=59, SV=13, CEps=3.6946, QPEps=0.9839)
Iter 87: .........*(NumConst=59, SV=12, CEps=3.7235, QPEps=0.7022)
Iter 88: .........*(NumConst=60, SV=11, CEps=2.5714, QPEps=1.1003)
Iter 89: .........*(NumConst=61, SV=12, CEps=1.9779, QPEps=0.5717)
Iter 90: .........*(NumConst=62, SV=12, CEps=4.8425, QPEps=0.4714)
Iter 91: .........*(NumConst=63, SV=12, CEps=3.4322, QPEps=0.3773)
Iter 92: .........*(NumConst=64, SV=13, CEps=2.3479, QPEps=0.7858)
Iter 93: .........*(NumConst=64, SV=15, CEps=2.8267, QPEps=0.8014)
Iter 94: .........*(NumConst=64, SV=14, CEps=2.3539, QPEps=0.6119)
Iter 95: .........*(NumConst=61, SV=13, CEps=1.7557, QPEps=0.3656)
Iter 96: .........*(NumConst=62, SV=13, CEps=1.4376, QPEps=0.6354)
Iter 97: .........*(NumConst=63, SV=15, CEps=1.4994, QPEps=0.4758)
Iter 98: .........*(NumConst=63, SV=13, CEps=2.6024, QPEps=0.1525)
Iter 99: .........*(NumConst=63, SV=15, CEps=1.2104, QPEps=0.5348)
Iter 100: .........*(NumConst=63, SV=14, CEps=2.4253, QPEps=0.4819)
Iter 101: .........*(NumConst=63, SV=14, CEps=1.8662, QPEps=0.1659)
Iter 102: .........*(NumConst=62, SV=14, CEps=1.8708, QPEps=0.1385)
Iter 103: .........*(NumConst=62, SV=15, CEps=1.1390, QPEps=0.3811)
Iter 104: .........*(NumConst=63, SV=14, CEps=1.4362, QPEps=0.5436)
Iter 105: .........*(NumConst=64, SV=14, CEps=1.7255, QPEps=0.5163)
Iter 106: .........*(NumConst=65, SV=14, CEps=1.1084, QPEps=0.5492)
Iter 107: .........*(NumConst=65, SV=15, CEps=1.1742, QPEps=0.5513)
Iter 108: .........(NumConst=65, SV=15, CEps=0.9398, QPEps=0.5513)
Final epsilon on KKT-Conditions: 0.93983
Upper bound on duality gap: 0.51363
Dual objective value: dval=299.96148
Primal objective value: pval=300.47511
Total number of constraints in final working set: 65 (of 107)
Number of iterations: 108
Number of calls to 'find_most_violated_constraint': 19440
Number of SV: 15 
Norm of weight vector: |w|=1.69614
Value of slack variable (on working set): xi=597.13351
Value of slack variable (global): xi=598.07331
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=774.22122
Runtime in cpu-seconds: 0.94
Compacting linear model...done
Writing learned model...done