Reading training examples...done
Training set properties: 25 features, 180 rankings, 15504 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.012667
Iter 1: .........*(NumConst=1, SV=1, CEps=1012.6667, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=787.2940, QPEps=0.0001)
Iter 3: .........*(NumConst=3, SV=2, CEps=1328.6697, QPEps=0.0006)
Iter 4: .........*(NumConst=4, SV=3, CEps=1493.7809, QPEps=0.0026)
Iter 5: .........*(NumConst=5, SV=4, CEps=2252.0876, QPEps=0.0225)
Iter 6: .........*(NumConst=6, SV=4, CEps=3696.3184, QPEps=17.3854)
Iter 7: .........*(NumConst=7, SV=6, CEps=1525.1445, QPEps=0.1605)
Iter 8: .........*(NumConst=8, SV=7, CEps=6641.5075, QPEps=0.0434)
Iter 9: .........*(NumConst=9, SV=7, CEps=3038.2606, QPEps=0.2202)
Iter 10: .........*(NumConst=10, SV=8, CEps=1117.1079, QPEps=22.4373)
Iter 11: .........*(NumConst=11, SV=8, CEps=1199.9087, QPEps=0.0456)
Iter 12: .........*(NumConst=12, SV=10, CEps=588.2662, QPEps=0.0047)
Iter 13: .........*(NumConst=13, SV=8, CEps=519.2360, QPEps=0.0116)
Iter 14: .........*(NumConst=14, SV=10, CEps=504.4938, QPEps=0.0082)
Iter 15: .........*(NumConst=15, SV=11, CEps=428.6037, QPEps=26.1313)
Iter 16: .........*(NumConst=16, SV=11, CEps=322.5604, QPEps=2.7684)
Iter 17: .........*(NumConst=17, SV=10, CEps=489.4963, QPEps=0.0022)
Iter 18: .........*(NumConst=18, SV=10, CEps=273.6288, QPEps=3.5136)
Iter 19: .........*(NumConst=19, SV=11, CEps=309.9065, QPEps=12.3854)
Iter 20: .........*(NumConst=20, SV=11, CEps=338.3797, QPEps=31.6373)
Iter 21: .........*(NumConst=21, SV=11, CEps=321.8655, QPEps=47.1297)
Iter 22: .........*(NumConst=22, SV=11, CEps=379.8378, QPEps=26.7779)
Iter 23: .........*(NumConst=23, SV=12, CEps=290.6402, QPEps=30.9909)
Iter 24: .........*(NumConst=24, SV=13, CEps=242.7450, QPEps=41.1745)
Iter 25: .........*(NumConst=25, SV=11, CEps=268.7781, QPEps=25.3507)
Iter 26: .........*(NumConst=26, SV=9, CEps=298.4228, QPEps=0.0002)
Iter 27: .........*(NumConst=27, SV=11, CEps=231.5155, QPEps=15.5652)
Iter 28: .........*(NumConst=28, SV=12, CEps=143.1110, QPEps=46.9228)
Iter 29: .........*(NumConst=29, SV=14, CEps=214.4530, QPEps=44.0503)
Iter 30: .........*(NumConst=30, SV=14, CEps=254.5637, QPEps=16.6453)
Iter 31: .........*(NumConst=31, SV=14, CEps=259.2435, QPEps=45.4928)
Iter 32: .........*(NumConst=32, SV=15, CEps=177.9519, QPEps=35.0839)
Iter 33: .........*(NumConst=33, SV=15, CEps=224.3903, QPEps=47.2473)
Iter 34: .........*(NumConst=34, SV=13, CEps=98.2644, QPEps=16.1841)
Iter 35: .........*(NumConst=35, SV=12, CEps=135.1085, QPEps=31.5171)
Iter 36: .........*(NumConst=36, SV=12, CEps=116.0458, QPEps=30.4613)
Iter 37: .........*(NumConst=37, SV=12, CEps=88.7812, QPEps=33.0611)
Iter 38: .........*(NumConst=38, SV=12, CEps=93.6578, QPEps=40.3847)
Iter 39: .........*(NumConst=39, SV=13, CEps=98.7206, QPEps=35.6794)
Iter 40: .........*(NumConst=40, SV=13, CEps=88.7751, QPEps=41.9044)
Iter 41: .........*(NumConst=41, SV=11, CEps=81.2710, QPEps=30.4452)
Iter 42: .........*(NumConst=42, SV=12, CEps=111.4161, QPEps=37.0085)
Iter 43: .........*(NumConst=43, SV=12, CEps=70.6591, QPEps=15.5986)
Iter 44: .........*(NumConst=44, SV=12, CEps=62.0719, QPEps=15.2836)
Iter 45: .........*(NumConst=45, SV=13, CEps=79.1228, QPEps=27.1201)
Iter 46: .........*(NumConst=46, SV=15, CEps=53.9670, QPEps=12.9876)
Iter 47: .........*(NumConst=47, SV=15, CEps=59.2420, QPEps=26.8417)
Iter 48: .........*(NumConst=48, SV=16, CEps=62.9525, QPEps=24.8518)
Iter 49: .........*(NumConst=49, SV=16, CEps=59.5225, QPEps=10.4630)
Iter 50: .........*(NumConst=50, SV=15, CEps=76.3220, QPEps=18.1016)
Iter 51: .........*(NumConst=51, SV=16, CEps=48.3282, QPEps=19.2943)
Iter 52: .........*(NumConst=52, SV=14, CEps=70.5733, QPEps=16.8361)
Iter 53: .........*(NumConst=53, SV=15, CEps=48.6907, QPEps=12.8992)
Iter 54: .........*(NumConst=54, SV=16, CEps=48.7538, QPEps=17.4885)
Iter 55: .........*(NumConst=55, SV=16, CEps=33.7660, QPEps=6.2876)
Iter 56: .........*(NumConst=56, SV=17, CEps=37.5303, QPEps=15.0885)
Iter 57: .........*(NumConst=56, SV=18, CEps=52.2750, QPEps=12.7702)
Iter 58: .........*(NumConst=57, SV=14, CEps=53.6067, QPEps=6.9806)
Iter 59: .........*(NumConst=58, SV=12, CEps=25.0924, QPEps=8.1084)
Iter 60: .........*(NumConst=58, SV=13, CEps=36.4477, QPEps=10.3583)
Iter 61: .........*(NumConst=59, SV=14, CEps=42.7816, QPEps=10.0978)
Iter 62: .........*(NumConst=59, SV=13, CEps=28.4303, QPEps=10.3633)
Iter 63: .........*(NumConst=59, SV=17, CEps=31.9235, QPEps=11.0456)
Iter 64: .........*(NumConst=60, SV=15, CEps=28.8400, QPEps=6.8240)
Iter 65: .........*(NumConst=61, SV=16, CEps=25.4300, QPEps=10.3290)
Iter 66: .........*(NumConst=61, SV=15, CEps=30.2752, QPEps=8.7131)
Iter 67: .........*(NumConst=61, SV=17, CEps=20.8269, QPEps=9.6727)
Iter 68: .........*(NumConst=61, SV=17, CEps=35.2503, QPEps=2.4698)
Iter 69: .........*(NumConst=62, SV=15, CEps=18.1692, QPEps=8.7998)
Iter 70: .........*(NumConst=62, SV=15, CEps=19.8257, QPEps=5.9111)
Iter 71: .........*(NumConst=62, SV=15, CEps=25.8557, QPEps=6.4463)
Iter 72: .........*(NumConst=62, SV=15, CEps=13.9515, QPEps=6.6185)
Iter 73: .........*(NumConst=63, SV=13, CEps=34.0367, QPEps=6.4662)
Iter 74: .........*(NumConst=63, SV=13, CEps=26.6429, QPEps=3.3156)
Iter 75: .........*(NumConst=63, SV=14, CEps=23.9308, QPEps=5.4874)
Iter 76: .........*(NumConst=64, SV=15, CEps=11.6853, QPEps=5.7352)
Iter 77: .........*(NumConst=64, SV=16, CEps=19.1389, QPEps=4.9693)
Iter 78: .........*(NumConst=65, SV=17, CEps=13.7500, QPEps=5.5280)
Iter 79: .........*(NumConst=65, SV=16, CEps=18.2804, QPEps=5.3330)
Iter 80: .........*(NumConst=65, SV=14, CEps=14.1119, QPEps=5.1397)
Iter 81: .........*(NumConst=66, SV=13, CEps=14.2028, QPEps=2.5942)
Iter 82: .........*(NumConst=66, SV=13, CEps=13.9789, QPEps=5.3153)
Iter 83: .........*(NumConst=63, SV=13, CEps=11.3714, QPEps=4.8431)
Iter 84: .........*(NumConst=64, SV=15, CEps=8.6612, QPEps=3.2699)
Iter 85: .........*(NumConst=65, SV=14, CEps=9.8770, QPEps=3.7599)
Iter 86: .........*(NumConst=65, SV=15, CEps=11.8489, QPEps=3.9182)
Iter 87: .........*(NumConst=64, SV=16, CEps=13.5563, QPEps=3.8827)
Iter 88: .........*(NumConst=64, SV=14, CEps=9.3872, QPEps=0.5284)
Iter 89: .........*(NumConst=63, SV=16, CEps=8.5481, QPEps=3.9454)
Iter 90: .........*(NumConst=63, SV=15, CEps=9.7918, QPEps=3.7639)
Iter 91: .........*(NumConst=64, SV=15, CEps=6.7596, QPEps=2.5947)
Iter 92: .........*(NumConst=65, SV=14, CEps=11.3402, QPEps=2.5125)
Iter 93: .........*(NumConst=65, SV=16, CEps=8.3587, QPEps=2.3709)
Iter 94: .........*(NumConst=66, SV=16, CEps=8.6327, QPEps=2.7281)
Iter 95: .........*(NumConst=67, SV=16, CEps=7.5408, QPEps=3.2701)
Iter 96: .........*(NumConst=67, SV=15, CEps=7.4838, QPEps=2.8918)
Iter 97: .........*(NumConst=68, SV=15, CEps=4.6975, QPEps=1.8246)
Iter 98: .........*(NumConst=67, SV=15, CEps=9.8763, QPEps=1.6506)
Iter 99: .........*(NumConst=68, SV=15, CEps=7.9481, QPEps=1.7034)
Iter 100: .........*(NumConst=68, SV=17, CEps=5.6724, QPEps=1.8364)
Iter 101: .........*(NumConst=68, SV=14, CEps=5.9147, QPEps=2.1769)
Iter 102: .........*(NumConst=69, SV=16, CEps=5.1918, QPEps=2.2180)
Iter 103: .........*(NumConst=70, SV=17, CEps=4.4464, QPEps=1.8026)
Iter 104: .........*(NumConst=70, SV=16, CEps=5.2928, QPEps=1.7167)
Iter 105: .........*(NumConst=70, SV=19, CEps=4.3985, QPEps=1.9587)
Iter 106: .........*(NumConst=71, SV=16, CEps=5.2716, QPEps=2.0383)
Iter 107: .........*(NumConst=69, SV=17, CEps=4.3987, QPEps=1.8624)
Iter 108: .........*(NumConst=67, SV=16, CEps=3.4210, QPEps=1.4820)
Iter 109: .........*(NumConst=67, SV=16, CEps=4.0409, QPEps=1.5850)
Iter 110: .........*(NumConst=67, SV=16, CEps=4.8190, QPEps=1.5400)
Iter 111: .........*(NumConst=66, SV=16, CEps=3.3870, QPEps=1.0913)
Iter 112: .........*(NumConst=67, SV=18, CEps=3.9403, QPEps=1.4454)
Iter 113: .........*(NumConst=65, SV=17, CEps=2.6299, QPEps=1.0980)
Iter 114: .........*(NumConst=65, SV=16, CEps=2.7654, QPEps=1.0084)
Iter 115: .........*(NumConst=66, SV=17, CEps=1.8709, QPEps=0.8682)
Iter 116: .........*(NumConst=67, SV=15, CEps=2.9820, QPEps=0.6808)
Iter 117: .........*(NumConst=68, SV=15, CEps=2.4578, QPEps=0.3146)
Iter 118: .........*(NumConst=66, SV=18, CEps=2.4920, QPEps=0.5091)
Iter 119: .........*(NumConst=67, SV=15, CEps=2.0658, QPEps=0.9050)
Iter 120: .........*(NumConst=68, SV=16, CEps=1.7552, QPEps=0.8279)
Iter 121: .........*(NumConst=68, SV=17, CEps=2.1461, QPEps=0.4822)
Iter 122: .........*(NumConst=67, SV=16, CEps=1.5813, QPEps=0.5397)
Iter 123: .........*(NumConst=68, SV=17, CEps=2.0658, QPEps=0.6395)
Iter 124: .........*(NumConst=69, SV=17, CEps=2.2383, QPEps=0.3395)
Iter 125: .........*(NumConst=68, SV=17, CEps=1.7957, QPEps=0.7414)
Iter 126: .........*(NumConst=67, SV=21, CEps=1.3294, QPEps=0.4777)
Iter 127: .........*(NumConst=66, SV=17, CEps=2.9202, QPEps=0.2122)
Iter 128: .........*(NumConst=66, SV=17, CEps=1.4081, QPEps=0.5128)
Iter 129: .........*(NumConst=65, SV=17, CEps=1.7307, QPEps=0.5851)
Iter 130: .........*(NumConst=65, SV=19, CEps=1.6665, QPEps=0.5725)
Iter 131: .........*(NumConst=65, SV=17, CEps=1.6682, QPEps=0.6225)
Iter 132: .........*(NumConst=66, SV=18, CEps=1.2100, QPEps=0.4389)
Iter 133: .........*(NumConst=66, SV=19, CEps=1.3011, QPEps=0.3777)
Iter 134: .........(NumConst=66, SV=19, CEps=0.9861, QPEps=0.3777)
Final epsilon on KKT-Conditions: 0.98609
Upper bound on duality gap: 1.02123
Dual objective value: dval=603.15059
Primal objective value: pval=604.17182
Total number of constraints in final working set: 66 (of 133)
Number of iterations: 134
Number of calls to 'find_most_violated_constraint': 24120
Number of SV: 19 
Norm of weight vector: |w|=2.14724
Value of slack variable (on working set): xi=600.89418
Value of slack variable (global): xi=601.86649
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=1072.00815
Runtime in cpu-seconds: 0.54
Compacting linear model...done
Writing learned model...done