Reading training examples...done
Training set properties: 19 features, 90 rankings, 8132 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.528367
Iter 1: .........*(NumConst=1, SV=1, CEps=528.3667, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=441.9948, QPEps=0.0003)
Iter 3: .........*(NumConst=3, SV=3, CEps=800.1350, QPEps=0.0069)
Iter 4: .........*(NumConst=4, SV=3, CEps=532.0673, QPEps=0.0005)
Iter 5: .........*(NumConst=5, SV=5, CEps=363.9643, QPEps=0.0005)
Iter 6: .........*(NumConst=6, SV=5, CEps=1125.1764, QPEps=0.0019)
Iter 7: .........*(NumConst=7, SV=6, CEps=1116.0330, QPEps=0.0011)
Iter 8: .........*(NumConst=8, SV=6, CEps=1500.3485, QPEps=9.4944)
Iter 9: .........*(NumConst=9, SV=6, CEps=714.9938, QPEps=4.4172)
Iter 10: .........*(NumConst=10, SV=9, CEps=1029.8625, QPEps=0.0137)
Iter 11: .........*(NumConst=11, SV=7, CEps=1041.4383, QPEps=4.6281)
Iter 12: .........*(NumConst=12, SV=9, CEps=538.2149, QPEps=12.0108)
Iter 13: .........*(NumConst=13, SV=8, CEps=417.6955, QPEps=1.7511)
Iter 14: .........*(NumConst=14, SV=7, CEps=431.1194, QPEps=1.9495)
Iter 15: .........*(NumConst=15, SV=8, CEps=301.5019, QPEps=0.0920)
Iter 16: .........*(NumConst=16, SV=8, CEps=277.2870, QPEps=0.3133)
Iter 17: .........*(NumConst=17, SV=9, CEps=146.4624, QPEps=0.0071)
Iter 18: .........*(NumConst=18, SV=9, CEps=294.2693, QPEps=0.0018)
Iter 19: .........*(NumConst=19, SV=8, CEps=174.7270, QPEps=0.0005)
Iter 20: .........*(NumConst=20, SV=9, CEps=121.4671, QPEps=29.1167)
Iter 21: .........*(NumConst=21, SV=9, CEps=133.9725, QPEps=3.0381)
Iter 22: .........*(NumConst=22, SV=9, CEps=108.8836, QPEps=13.0173)
Iter 23: .........*(NumConst=23, SV=9, CEps=143.6778, QPEps=0.0006)
Iter 24: .........*(NumConst=24, SV=8, CEps=81.2726, QPEps=37.2217)
Iter 25: .........*(NumConst=25, SV=9, CEps=144.3150, QPEps=8.2907)
Iter 26: .........*(NumConst=26, SV=9, CEps=58.1981, QPEps=20.4177)
Iter 27: .........*(NumConst=27, SV=8, CEps=87.8376, QPEps=0.0239)
Iter 28: .........*(NumConst=28, SV=9, CEps=67.0452, QPEps=1.0808)
Iter 29: .........*(NumConst=29, SV=11, CEps=103.3641, QPEps=20.2073)
Iter 30: .........*(NumConst=30, SV=9, CEps=95.9490, QPEps=26.8248)
Iter 31: .........*(NumConst=31, SV=10, CEps=80.0625, QPEps=0.0001)
Iter 32: .........*(NumConst=32, SV=9, CEps=134.2136, QPEps=5.9178)
Iter 33: .........*(NumConst=33, SV=11, CEps=62.1760, QPEps=9.3426)
Iter 34: .........*(NumConst=34, SV=10, CEps=73.6330, QPEps=2.5421)
Iter 35: .........*(NumConst=35, SV=10, CEps=62.8473, QPEps=11.5587)
Iter 36: .........*(NumConst=36, SV=10, CEps=51.0869, QPEps=9.9827)
Iter 37: .........*(NumConst=37, SV=9, CEps=72.4408, QPEps=9.8118)
Iter 38: .........*(NumConst=38, SV=10, CEps=54.0781, QPEps=2.7060)
Iter 39: .........*(NumConst=39, SV=11, CEps=45.9247, QPEps=19.7333)
Iter 40: .........*(NumConst=40, SV=10, CEps=44.3527, QPEps=0.0006)
Iter 41: .........*(NumConst=41, SV=10, CEps=72.1838, QPEps=1.9545)
Iter 42: .........*(NumConst=42, SV=10, CEps=31.7478, QPEps=0.3570)
Iter 43: .........*(NumConst=43, SV=10, CEps=41.7111, QPEps=0.0000)
Iter 44: .........*(NumConst=44, SV=13, CEps=27.7014, QPEps=11.3609)
Iter 45: .........*(NumConst=45, SV=11, CEps=29.9283, QPEps=5.4123)
Iter 46: .........*(NumConst=46, SV=11, CEps=21.7194, QPEps=10.0347)
Iter 47: .........*(NumConst=47, SV=11, CEps=34.9077, QPEps=5.8141)
Iter 48: .........*(NumConst=48, SV=13, CEps=20.5534, QPEps=9.2502)
Iter 49: .........*(NumConst=49, SV=11, CEps=23.6409, QPEps=4.5622)
Iter 50: .........*(NumConst=50, SV=9, CEps=24.2035, QPEps=4.9476)
Iter 51: .........*(NumConst=51, SV=9, CEps=17.9470, QPEps=1.4900)
Iter 52: .........*(NumConst=52, SV=10, CEps=15.9256, QPEps=0.0000)
Iter 53: .........*(NumConst=53, SV=8, CEps=17.7232, QPEps=0.0007)
Iter 54: .........*(NumConst=54, SV=13, CEps=12.8324, QPEps=5.4062)
Iter 55: .........*(NumConst=55, SV=9, CEps=14.1492, QPEps=0.0000)
Iter 56: .........*(NumConst=56, SV=9, CEps=10.1742, QPEps=4.9800)
Iter 57: .........*(NumConst=57, SV=9, CEps=20.7253, QPEps=0.7993)
Iter 58: .........*(NumConst=58, SV=8, CEps=11.0113, QPEps=0.9779)
Iter 59: .........*(NumConst=59, SV=9, CEps=17.2556, QPEps=0.0000)
Iter 60: .........*(NumConst=59, SV=10, CEps=10.6972, QPEps=3.3642)
Iter 61: .........*(NumConst=60, SV=10, CEps=11.0028, QPEps=4.7942)
Iter 62: .........*(NumConst=60, SV=9, CEps=13.1349, QPEps=0.8056)
Iter 63: .........*(NumConst=59, SV=10, CEps=8.3435, QPEps=2.1671)
Iter 64: .........*(NumConst=60, SV=10, CEps=8.6854, QPEps=0.4969)
Iter 65: .........*(NumConst=60, SV=10, CEps=9.4697, QPEps=2.1196)
Iter 66: .........*(NumConst=61, SV=11, CEps=5.1892, QPEps=1.8423)
Iter 67: .........*(NumConst=61, SV=12, CEps=7.2471, QPEps=1.1525)
Iter 68: .........*(NumConst=61, SV=10, CEps=11.5957, QPEps=0.3738)
Iter 69: .........*(NumConst=60, SV=9, CEps=7.5097, QPEps=0.0000)
Iter 70: .........*(NumConst=60, SV=10, CEps=5.1200, QPEps=2.1811)
Iter 71: .........*(NumConst=61, SV=8, CEps=6.3997, QPEps=0.0008)
Iter 72: .........*(NumConst=61, SV=9, CEps=4.4832, QPEps=0.0000)
Iter 73: .........*(NumConst=60, SV=10, CEps=4.2603, QPEps=1.7333)
Iter 74: .........*(NumConst=61, SV=9, CEps=6.0843, QPEps=0.0000)
Iter 75: .........*(NumConst=61, SV=10, CEps=4.5432, QPEps=0.0592)
Iter 76: .........*(NumConst=61, SV=10, CEps=6.8603, QPEps=0.6376)
Iter 77: .........*(NumConst=61, SV=11, CEps=3.1815, QPEps=1.3895)
Iter 78: .........*(NumConst=62, SV=11, CEps=3.2347, QPEps=1.2916)
Iter 79: .........*(NumConst=60, SV=10, CEps=4.6244, QPEps=0.0001)
Iter 80: .........*(NumConst=60, SV=10, CEps=2.2835, QPEps=1.1113)
Iter 81: .........*(NumConst=60, SV=11, CEps=4.6715, QPEps=0.0000)
Iter 82: .........*(NumConst=60, SV=11, CEps=3.8738, QPEps=0.0000)
Iter 83: .........*(NumConst=59, SV=11, CEps=3.1008, QPEps=0.6612)
Iter 84: .........*(NumConst=59, SV=13, CEps=2.2826, QPEps=0.9983)
Iter 85: .........*(NumConst=59, SV=10, CEps=4.5024, QPEps=1.0117)
Iter 86: .........*(NumConst=59, SV=11, CEps=2.4127, QPEps=1.0158)
Iter 87: .........*(NumConst=60, SV=10, CEps=4.3164, QPEps=0.0000)
Iter 88: .........*(NumConst=61, SV=12, CEps=1.9948, QPEps=0.9666)
Iter 89: .........*(NumConst=62, SV=9, CEps=2.3984, QPEps=0.4241)
Iter 90: .........*(NumConst=63, SV=9, CEps=1.7211, QPEps=0.0000)
Iter 91: .........*(NumConst=63, SV=8, CEps=1.2965, QPEps=0.0003)
Iter 92: .........*(NumConst=64, SV=9, CEps=1.7268, QPEps=0.5723)
Iter 93: .........*(NumConst=64, SV=10, CEps=3.0261, QPEps=0.4329)
Iter 94: .........*(NumConst=63, SV=11, CEps=2.4439, QPEps=0.4310)
Iter 95: .........*(NumConst=62, SV=9, CEps=1.2711, QPEps=0.0000)
Iter 96: .........*(NumConst=63, SV=9, CEps=1.3342, QPEps=0.0000)
Iter 97: .........*(NumConst=64, SV=9, CEps=1.0864, QPEps=0.0325)
Iter 98: .........*(NumConst=61, SV=10, CEps=1.4884, QPEps=0.5369)
Iter 99: .........*(NumConst=61, SV=10, CEps=0.8521, QPEps=0.0660)
Iter 100: .........*(NumConst=62, SV=11, CEps=1.3663, QPEps=0.2427)
Iter 101: .........*(NumConst=63, SV=11, CEps=0.9137, QPEps=0.3939)
Iter 102: .........*(NumConst=63, SV=12, CEps=1.2791, QPEps=0.3641)
Iter 103: .........*(NumConst=64, SV=11, CEps=0.7398, QPEps=0.0936)
Iter 104: .........*(NumConst=60, SV=10, CEps=1.0441, QPEps=0.1772)
Iter 105: .........*(NumConst=60, SV=11, CEps=0.6610, QPEps=0.1770)
Iter 106: .........*(NumConst=60, SV=11, CEps=0.8471, QPEps=0.1214)
Iter 107: .........*(NumConst=59, SV=13, CEps=0.5285, QPEps=0.2620)
Iter 108: .........*(NumConst=60, SV=12, CEps=0.7958, QPEps=0.1958)
Iter 109: .........(NumConst=60, SV=12, CEps=0.5168, QPEps=0.1958)
Final epsilon on KKT-Conditions: 0.51684
Upper bound on duality gap: 0.53218
Dual objective value: dval=257.64569
Primal objective value: pval=258.17787
Total number of constraints in final working set: 60 (of 108)
Number of iterations: 109
Number of calls to 'find_most_violated_constraint': 9810
Number of SV: 12 
Norm of weight vector: |w|=3.08385
Value of slack variable (on working set): xi=252.97214
Value of slack variable (global): xi=253.42282
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=368.94928
Runtime in cpu-seconds: 0.23
Compacting linear model...done
Writing learned model...done