Reading training examples...done
Training set properties: 25 features, 90 rankings, 8151 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.536978
Iter 1: .........*(NumConst=1, SV=1, CEps=536.9778, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=408.4924, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=3, CEps=1522.7509, QPEps=0.0005)
Iter 4: .........*(NumConst=4, SV=3, CEps=955.6910, QPEps=0.0007)
Iter 5: .........*(NumConst=5, SV=4, CEps=766.9574, QPEps=0.0022)
Iter 6: .........*(NumConst=6, SV=6, CEps=1764.2037, QPEps=0.0090)
Iter 7: .........*(NumConst=7, SV=5, CEps=1365.1440, QPEps=9.2321)
Iter 8: .........*(NumConst=8, SV=5, CEps=975.7413, QPEps=49.8843)
Iter 9: .........*(NumConst=9, SV=7, CEps=868.5646, QPEps=0.0135)
Iter 10: .........*(NumConst=10, SV=7, CEps=1215.7165, QPEps=47.5293)
Iter 11: .........*(NumConst=11, SV=8, CEps=595.6794, QPEps=7.2917)
Iter 12: .........*(NumConst=12, SV=7, CEps=445.6664, QPEps=8.1375)
Iter 13: .........*(NumConst=13, SV=9, CEps=366.2546, QPEps=27.1137)
Iter 14: .........*(NumConst=14, SV=8, CEps=287.2142, QPEps=0.1431)
Iter 15: .........*(NumConst=15, SV=10, CEps=174.3770, QPEps=39.9668)
Iter 16: .........*(NumConst=16, SV=10, CEps=221.8677, QPEps=0.0013)
Iter 17: .........*(NumConst=17, SV=10, CEps=216.2581, QPEps=32.3912)
Iter 18: .........*(NumConst=18, SV=9, CEps=195.4396, QPEps=0.0004)
Iter 19: .........*(NumConst=19, SV=12, CEps=357.1086, QPEps=33.9252)
Iter 20: .........*(NumConst=20, SV=9, CEps=156.0780, QPEps=25.1009)
Iter 21: .........*(NumConst=21, SV=10, CEps=132.1469, QPEps=28.6067)
Iter 22: .........*(NumConst=22, SV=11, CEps=84.0188, QPEps=35.8137)
Iter 23: .........*(NumConst=23, SV=8, CEps=290.5976, QPEps=22.1019)
Iter 24: .........*(NumConst=24, SV=9, CEps=123.6100, QPEps=0.0010)
Iter 25: .........*(NumConst=25, SV=9, CEps=135.0589, QPEps=36.9718)
Iter 26: .........*(NumConst=26, SV=10, CEps=121.4921, QPEps=9.9341)
Iter 27: .........*(NumConst=27, SV=10, CEps=93.8796, QPEps=35.2276)
Iter 28: .........*(NumConst=28, SV=11, CEps=64.3902, QPEps=31.1568)
Iter 29: .........*(NumConst=29, SV=9, CEps=76.5092, QPEps=16.0045)
Iter 30: .........*(NumConst=30, SV=9, CEps=72.9509, QPEps=0.0001)
Iter 31: .........*(NumConst=31, SV=8, CEps=71.6303, QPEps=2.1133)
Iter 32: .........*(NumConst=32, SV=8, CEps=62.0092, QPEps=0.0002)
Iter 33: .........*(NumConst=33, SV=10, CEps=45.6738, QPEps=0.0002)
Iter 34: .........*(NumConst=34, SV=10, CEps=54.5826, QPEps=7.9570)
Iter 35: .........*(NumConst=35, SV=12, CEps=61.6658, QPEps=11.8024)
Iter 36: .........*(NumConst=36, SV=9, CEps=79.5740, QPEps=0.0001)
Iter 37: .........*(NumConst=37, SV=11, CEps=46.4047, QPEps=18.5780)
Iter 38: .........*(NumConst=38, SV=10, CEps=54.4648, QPEps=20.8953)
Iter 39: .........*(NumConst=39, SV=11, CEps=47.3584, QPEps=7.6666)
Iter 40: .........*(NumConst=40, SV=11, CEps=70.3427, QPEps=18.8054)
Iter 41: .........*(NumConst=41, SV=10, CEps=35.1774, QPEps=11.3370)
Iter 42: .........*(NumConst=42, SV=11, CEps=37.7788, QPEps=7.7053)
Iter 43: .........*(NumConst=43, SV=9, CEps=25.8221, QPEps=11.4368)
Iter 44: .........*(NumConst=44, SV=10, CEps=31.1118, QPEps=4.3951)
Iter 45: .........*(NumConst=45, SV=11, CEps=31.9064, QPEps=7.7225)
Iter 46: .........*(NumConst=46, SV=11, CEps=28.0991, QPEps=0.0001)
Iter 47: .........*(NumConst=47, SV=11, CEps=23.8687, QPEps=0.0000)
Iter 48: .........*(NumConst=48, SV=11, CEps=23.7668, QPEps=9.5164)
Iter 49: .........*(NumConst=49, SV=12, CEps=19.7846, QPEps=7.8948)
Iter 50: .........*(NumConst=50, SV=11, CEps=19.8991, QPEps=3.0318)
Iter 51: .........*(NumConst=51, SV=13, CEps=19.6546, QPEps=8.4186)
Iter 52: .........*(NumConst=52, SV=12, CEps=23.7981, QPEps=3.1903)
Iter 53: .........*(NumConst=53, SV=12, CEps=15.9652, QPEps=7.3951)
Iter 54: .........*(NumConst=54, SV=12, CEps=28.2865, QPEps=4.3852)
Iter 55: .........*(NumConst=55, SV=11, CEps=12.3826, QPEps=3.9811)
Iter 56: .........*(NumConst=56, SV=12, CEps=23.5457, QPEps=3.1235)
Iter 57: .........*(NumConst=57, SV=13, CEps=12.3930, QPEps=5.4179)
Iter 58: .........*(NumConst=58, SV=10, CEps=13.9114, QPEps=1.5124)
Iter 59: .........*(NumConst=59, SV=11, CEps=10.7813, QPEps=4.6499)
Iter 60: .........*(NumConst=60, SV=12, CEps=21.5264, QPEps=4.4560)
Iter 61: .........*(NumConst=61, SV=11, CEps=13.8021, QPEps=4.5563)
Iter 62: .........*(NumConst=62, SV=11, CEps=8.2446, QPEps=1.9036)
Iter 63: .........*(NumConst=62, SV=12, CEps=8.9049, QPEps=2.7559)
Iter 64: .........*(NumConst=63, SV=13, CEps=7.5171, QPEps=3.0334)
Iter 65: .........*(NumConst=63, SV=12, CEps=9.4966, QPEps=3.6648)
Iter 66: .........*(NumConst=64, SV=11, CEps=16.9448, QPEps=0.0633)
Iter 67: .........*(NumConst=65, SV=13, CEps=7.6926, QPEps=0.6830)
Iter 68: .........*(NumConst=65, SV=10, CEps=7.4088, QPEps=3.6808)
Iter 69: .........*(NumConst=63, SV=10, CEps=4.2166, QPEps=0.6409)
Iter 70: .........*(NumConst=64, SV=10, CEps=7.3831, QPEps=0.0000)
Iter 71: .........*(NumConst=64, SV=12, CEps=5.9413, QPEps=1.2892)
Iter 72: .........*(NumConst=62, SV=12, CEps=8.4371, QPEps=1.6614)
Iter 73: .........*(NumConst=62, SV=11, CEps=4.2352, QPEps=1.2660)
Iter 74: .........*(NumConst=63, SV=11, CEps=6.4958, QPEps=1.7482)
Iter 75: .........*(NumConst=64, SV=10, CEps=5.1917, QPEps=1.4788)
Iter 76: .........*(NumConst=64, SV=10, CEps=4.2179, QPEps=0.9568)
Iter 77: .........*(NumConst=63, SV=12, CEps=6.5941, QPEps=1.6210)
Iter 78: .........*(NumConst=62, SV=12, CEps=4.7622, QPEps=0.9836)
Iter 79: .........*(NumConst=61, SV=13, CEps=3.3525, QPEps=1.6155)
Iter 80: .........*(NumConst=61, SV=12, CEps=5.0224, QPEps=0.2471)
Iter 81: .........*(NumConst=62, SV=12, CEps=4.2582, QPEps=0.7694)
Iter 82: .........*(NumConst=62, SV=13, CEps=3.2958, QPEps=0.2734)
Iter 83: .........*(NumConst=62, SV=13, CEps=2.5617, QPEps=0.6324)
Iter 84: .........*(NumConst=62, SV=10, CEps=2.8565, QPEps=0.1142)
Iter 85: .........*(NumConst=59, SV=11, CEps=2.6673, QPEps=0.1895)
Iter 86: .........*(NumConst=60, SV=11, CEps=2.6160, QPEps=0.1547)
Iter 87: .........*(NumConst=60, SV=11, CEps=2.0252, QPEps=0.0610)
Iter 88: .........*(NumConst=61, SV=13, CEps=1.4099, QPEps=0.3624)
Iter 89: .........*(NumConst=61, SV=10, CEps=3.8138, QPEps=0.3047)
Iter 90: .........*(NumConst=61, SV=11, CEps=2.5607, QPEps=0.5404)
Iter 91: .........*(NumConst=60, SV=13, CEps=3.5553, QPEps=0.6321)
Iter 92: .........*(NumConst=59, SV=13, CEps=2.4212, QPEps=0.2468)
Iter 93: .........*(NumConst=60, SV=14, CEps=2.1851, QPEps=0.5327)
Iter 94: .........*(NumConst=61, SV=12, CEps=1.9573, QPEps=0.2733)
Iter 95: .........*(NumConst=62, SV=11, CEps=1.9556, QPEps=0.0000)
Iter 96: .........*(NumConst=62, SV=12, CEps=1.0075, QPEps=0.0177)
Iter 97: .........*(NumConst=62, SV=12, CEps=2.4141, QPEps=0.0758)
Iter 98: .........*(NumConst=63, SV=12, CEps=1.5384, QPEps=0.3873)
Iter 99: .........*(NumConst=63, SV=12, CEps=1.4617, QPEps=0.0751)
Iter 100: .........*(NumConst=63, SV=12, CEps=1.3196, QPEps=0.0916)
Iter 101: .........*(NumConst=62, SV=13, CEps=1.4700, QPEps=0.4125)
Iter 102: .........*(NumConst=63, SV=13, CEps=0.8099, QPEps=0.1942)
Iter 103: .........*(NumConst=64, SV=12, CEps=1.1918, QPEps=0.0000)
Iter 104: .........*(NumConst=63, SV=10, CEps=0.8490, QPEps=0.0000)
Iter 105: .........*(NumConst=64, SV=12, CEps=0.7275, QPEps=0.0000)
Iter 106: .........*(NumConst=63, SV=12, CEps=0.8794, QPEps=0.0000)
Iter 107: .........*(NumConst=63, SV=12, CEps=0.6369, QPEps=0.0381)
Iter 108: .........*(NumConst=63, SV=12, CEps=0.7775, QPEps=0.0001)
Iter 109: .........(NumConst=63, SV=12, CEps=0.4551, QPEps=0.0001)
Final epsilon on KKT-Conditions: 0.45515
Upper bound on duality gap: 0.45505
Dual objective value: dval=316.25910
Primal objective value: pval=316.71415
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|=2.24991
Value of slack variable (on working set): xi=313.72809
Value of slack variable (global): xi=314.18309
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=388.55687
Runtime in cpu-seconds: 0.41
Compacting linear model...done
Writing learned model...done