Reading training examples...done
Training set properties: 25 features, 90 rankings, 8128 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.495733
Iter 1: .........*(NumConst=1, SV=1, CEps=495.7333, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=387.6895, QPEps=0.0001)
Iter 3: .........*(NumConst=3, SV=3, CEps=1358.3571, QPEps=0.0007)
Iter 4: .........*(NumConst=4, SV=3, CEps=710.6618, QPEps=0.0005)
Iter 5: .........*(NumConst=5, SV=4, CEps=557.2702, QPEps=0.0026)
Iter 6: .........*(NumConst=6, SV=4, CEps=1723.6908, QPEps=49.6546)
Iter 7: .........*(NumConst=7, SV=6, CEps=806.9715, QPEps=0.0041)
Iter 8: .........*(NumConst=8, SV=5, CEps=1297.7027, QPEps=49.6291)
Iter 9: .........*(NumConst=9, SV=7, CEps=1068.0820, QPEps=41.1374)
Iter 10: .........*(NumConst=10, SV=7, CEps=1270.9836, QPEps=49.7572)
Iter 11: .........*(NumConst=11, SV=7, CEps=639.7788, QPEps=47.3965)
Iter 12: .........*(NumConst=12, SV=7, CEps=393.8659, QPEps=0.4711)
Iter 13: .........*(NumConst=13, SV=8, CEps=351.7105, QPEps=3.2852)
Iter 14: .........*(NumConst=14, SV=8, CEps=193.5679, QPEps=0.0009)
Iter 15: .........*(NumConst=15, SV=10, CEps=153.6303, QPEps=0.0003)
Iter 16: .........*(NumConst=16, SV=8, CEps=137.5359, QPEps=0.0966)
Iter 17: .........*(NumConst=17, SV=9, CEps=152.9306, QPEps=38.4356)
Iter 18: .........*(NumConst=18, SV=9, CEps=172.9498, QPEps=0.0005)
Iter 19: .........*(NumConst=19, SV=9, CEps=119.9683, QPEps=0.0014)
Iter 20: .........*(NumConst=20, SV=11, CEps=104.7935, QPEps=20.4214)
Iter 21: .........*(NumConst=21, SV=10, CEps=117.3121, QPEps=5.7169)
Iter 22: .........*(NumConst=22, SV=10, CEps=108.5094, QPEps=0.0055)
Iter 23: .........*(NumConst=23, SV=11, CEps=67.4077, QPEps=23.5451)
Iter 24: .........*(NumConst=24, SV=11, CEps=132.9167, QPEps=13.1726)
Iter 25: .........*(NumConst=25, SV=10, CEps=103.4123, QPEps=25.1182)
Iter 26: .........*(NumConst=26, SV=10, CEps=101.1374, QPEps=4.8457)
Iter 27: .........*(NumConst=27, SV=12, CEps=68.5639, QPEps=14.6131)
Iter 28: .........*(NumConst=28, SV=10, CEps=54.2420, QPEps=18.0397)
Iter 29: .........*(NumConst=29, SV=11, CEps=89.9211, QPEps=18.4458)
Iter 30: .........*(NumConst=30, SV=9, CEps=120.2750, QPEps=0.0093)
Iter 31: .........*(NumConst=31, SV=10, CEps=54.9291, QPEps=2.4245)
Iter 32: .........*(NumConst=32, SV=8, CEps=65.5322, QPEps=0.0337)
Iter 33: .........*(NumConst=33, SV=10, CEps=40.4812, QPEps=5.8823)
Iter 34: .........*(NumConst=34, SV=10, CEps=93.1823, QPEps=10.9586)
Iter 35: .........*(NumConst=35, SV=10, CEps=42.6726, QPEps=5.1761)
Iter 36: .........*(NumConst=36, SV=10, CEps=37.9374, QPEps=15.5888)
Iter 37: .........*(NumConst=37, SV=13, CEps=46.8506, QPEps=18.5578)
Iter 38: .........*(NumConst=38, SV=11, CEps=41.2176, QPEps=13.6389)
Iter 39: .........*(NumConst=39, SV=14, CEps=24.7893, QPEps=7.3976)
Iter 40: .........*(NumConst=40, SV=13, CEps=31.1881, QPEps=11.5474)
Iter 41: .........*(NumConst=41, SV=13, CEps=35.6257, QPEps=10.7435)
Iter 42: .........*(NumConst=42, SV=13, CEps=24.2307, QPEps=10.9250)
Iter 43: .........*(NumConst=43, SV=12, CEps=20.5785, QPEps=8.8043)
Iter 44: .........*(NumConst=44, SV=10, CEps=49.3381, QPEps=0.0000)
Iter 45: .........*(NumConst=45, SV=10, CEps=25.5115, QPEps=3.1270)
Iter 46: .........*(NumConst=46, SV=12, CEps=33.0675, QPEps=8.4750)
Iter 47: .........*(NumConst=47, SV=10, CEps=35.0920, QPEps=0.0003)
Iter 48: .........*(NumConst=48, SV=10, CEps=15.1302, QPEps=0.0001)
Iter 49: .........*(NumConst=49, SV=11, CEps=27.2990, QPEps=5.8262)
Iter 50: .........*(NumConst=50, SV=11, CEps=25.8402, QPEps=4.5796)
Iter 51: .........*(NumConst=51, SV=12, CEps=24.4520, QPEps=6.3109)
Iter 52: .........*(NumConst=52, SV=12, CEps=15.3244, QPEps=4.5351)
Iter 53: .........*(NumConst=53, SV=11, CEps=17.5783, QPEps=7.5647)
Iter 54: .........*(NumConst=54, SV=11, CEps=25.9900, QPEps=4.5307)
Iter 55: .........*(NumConst=55, SV=13, CEps=18.9724, QPEps=2.2742)
Iter 56: .........*(NumConst=56, SV=14, CEps=13.7031, QPEps=6.7492)
Iter 57: .........*(NumConst=57, SV=11, CEps=13.3340, QPEps=4.7494)
Iter 58: .........*(NumConst=58, SV=12, CEps=14.0641, QPEps=0.5434)
Iter 59: .........*(NumConst=58, SV=12, CEps=9.4409, QPEps=0.1355)
Iter 60: .........*(NumConst=58, SV=12, CEps=8.4052, QPEps=3.7298)
Iter 61: .........*(NumConst=58, SV=12, CEps=9.9023, QPEps=3.5349)
Iter 62: .........*(NumConst=59, SV=11, CEps=9.6562, QPEps=2.1857)
Iter 63: .........*(NumConst=60, SV=13, CEps=7.4168, QPEps=3.0507)
Iter 64: .........*(NumConst=60, SV=12, CEps=9.7775, QPEps=3.4007)
Iter 65: .........*(NumConst=60, SV=11, CEps=6.1877, QPEps=1.5403)
Iter 66: .........*(NumConst=60, SV=13, CEps=7.5288, QPEps=2.3768)
Iter 67: .........*(NumConst=60, SV=12, CEps=6.0497, QPEps=0.9495)
Iter 68: .........*(NumConst=60, SV=12, CEps=7.9314, QPEps=2.7663)
Iter 69: .........*(NumConst=61, SV=15, CEps=4.4459, QPEps=1.9275)
Iter 70: .........*(NumConst=59, SV=14, CEps=5.5335, QPEps=0.5591)
Iter 71: .........*(NumConst=60, SV=15, CEps=5.0980, QPEps=2.1672)
Iter 72: .........*(NumConst=61, SV=13, CEps=5.7782, QPEps=0.0246)
Iter 73: .........*(NumConst=61, SV=14, CEps=3.7771, QPEps=1.6688)
Iter 74: .........*(NumConst=61, SV=16, CEps=3.1414, QPEps=1.2957)
Iter 75: .........*(NumConst=62, SV=13, CEps=4.8992, QPEps=0.7986)
Iter 76: .........*(NumConst=62, SV=11, CEps=3.8019, QPEps=0.8888)
Iter 77: .........*(NumConst=62, SV=13, CEps=3.7913, QPEps=0.7568)
Iter 78: .........*(NumConst=62, SV=14, CEps=2.5633, QPEps=1.1699)
Iter 79: .........*(NumConst=61, SV=13, CEps=3.2855, QPEps=0.2038)
Iter 80: .........*(NumConst=61, SV=15, CEps=3.1458, QPEps=0.9726)
Iter 81: .........*(NumConst=61, SV=12, CEps=1.9257, QPEps=0.4644)
Iter 82: .........*(NumConst=62, SV=12, CEps=2.6503, QPEps=0.7434)
Iter 83: .........*(NumConst=63, SV=11, CEps=1.7983, QPEps=0.7865)
Iter 84: .........*(NumConst=64, SV=12, CEps=1.9990, QPEps=0.5819)
Iter 85: .........*(NumConst=64, SV=11, CEps=1.9803, QPEps=0.0000)
Iter 86: .........*(NumConst=65, SV=12, CEps=2.1219, QPEps=0.0828)
Iter 87: .........*(NumConst=65, SV=13, CEps=1.7093, QPEps=0.7164)
Iter 88: .........*(NumConst=65, SV=12, CEps=1.2593, QPEps=0.2140)
Iter 89: .........*(NumConst=65, SV=12, CEps=1.4840, QPEps=0.4395)
Iter 90: .........*(NumConst=66, SV=13, CEps=2.3021, QPEps=0.5130)
Iter 91: .........*(NumConst=65, SV=15, CEps=1.1706, QPEps=0.3847)
Iter 92: .........*(NumConst=63, SV=15, CEps=2.2336, QPEps=0.5847)
Iter 93: .........*(NumConst=61, SV=13, CEps=1.6073, QPEps=0.0000)
Iter 94: .........*(NumConst=62, SV=14, CEps=2.0620, QPEps=0.0111)
Iter 95: .........*(NumConst=62, SV=14, CEps=1.0628, QPEps=0.1364)
Iter 96: .........*(NumConst=60, SV=12, CEps=1.3307, QPEps=0.1928)
Iter 97: .........*(NumConst=60, SV=12, CEps=1.0599, QPEps=0.0000)
Iter 98: .........*(NumConst=61, SV=16, CEps=0.5438, QPEps=0.2034)
Iter 99: .........*(NumConst=62, SV=15, CEps=1.4340, QPEps=0.1460)
Iter 100: .........*(NumConst=63, SV=14, CEps=1.1504, QPEps=0.1559)
Iter 101: .........*(NumConst=63, SV=13, CEps=1.5093, QPEps=0.0232)
Iter 102: .........*(NumConst=63, SV=12, CEps=0.6955, QPEps=0.0000)
Iter 103: .........*(NumConst=64, SV=13, CEps=1.0245, QPEps=0.1775)
Iter 104: .........*(NumConst=65, SV=13, CEps=1.0251, QPEps=0.1604)
Iter 105: .........*(NumConst=64, SV=13, CEps=0.6293, QPEps=0.0000)
Iter 106: .........*(NumConst=61, SV=13, CEps=0.5689, QPEps=0.0724)
Iter 107: .........*(NumConst=62, SV=13, CEps=0.7743, QPEps=0.1135)
Iter 108: .........*(NumConst=63, SV=12, CEps=0.6281, QPEps=0.0777)
Iter 109: .........(NumConst=63, SV=12, CEps=0.3503, QPEps=0.0777)
Final epsilon on KKT-Conditions: 0.35032
Upper bound on duality gap: 0.39010
Dual objective value: dval=285.86987
Primal objective value: pval=286.25998
Total number of constraints in final working set: 63 (of 108)
Number of iterations: 109
Number of calls to 'find_most_violated_constraint': 9810
Number of SV: 12 
Norm of weight vector: |w|=2.33067
Value of slack variable (on working set): xi=283.19367
Value of slack variable (global): xi=283.54398
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=364.81803
Runtime in cpu-seconds: 0.54
Compacting linear model...done
Writing learned model...done