Reading training examples...done
Training set properties: 25 features, 90 rankings, 8174 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.482200
Iter 1: .........*(NumConst=1, SV=1, CEps=482.2000, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=349.9351, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=3, CEps=1254.3094, QPEps=0.0012)
Iter 4: .........*(NumConst=4, SV=3, CEps=802.4060, QPEps=0.0003)
Iter 5: .........*(NumConst=5, SV=4, CEps=631.8761, QPEps=0.0016)
Iter 6: .........*(NumConst=6, SV=4, CEps=1309.3697, QPEps=48.8115)
Iter 7: .........*(NumConst=7, SV=4, CEps=609.5338, QPEps=48.5038)
Iter 8: .........*(NumConst=8, SV=6, CEps=700.6424, QPEps=49.6848)
Iter 9: .........*(NumConst=9, SV=6, CEps=1044.2960, QPEps=49.9005)
Iter 10: .........*(NumConst=10, SV=7, CEps=1018.8008, QPEps=0.1258)
Iter 11: .........*(NumConst=11, SV=7, CEps=932.2199, QPEps=38.3293)
Iter 12: .........*(NumConst=12, SV=8, CEps=538.8886, QPEps=5.9295)
Iter 13: .........*(NumConst=13, SV=10, CEps=822.2796, QPEps=39.4765)
Iter 14: .........*(NumConst=14, SV=9, CEps=243.4347, QPEps=0.0106)
Iter 15: .........*(NumConst=15, SV=9, CEps=187.7243, QPEps=12.2864)
Iter 16: .........*(NumConst=16, SV=10, CEps=212.4374, QPEps=35.7592)
Iter 17: .........*(NumConst=17, SV=10, CEps=148.1911, QPEps=38.2794)
Iter 18: .........*(NumConst=18, SV=10, CEps=158.0931, QPEps=0.0008)
Iter 19: .........*(NumConst=19, SV=9, CEps=147.9553, QPEps=0.0002)
Iter 20: .........*(NumConst=20, SV=10, CEps=116.5277, QPEps=47.2449)
Iter 21: .........*(NumConst=21, SV=10, CEps=183.2499, QPEps=35.6511)
Iter 22: .........*(NumConst=22, SV=10, CEps=170.7961, QPEps=14.3338)
Iter 23: .........*(NumConst=23, SV=10, CEps=94.0504, QPEps=0.0001)
Iter 24: .........*(NumConst=24, SV=10, CEps=118.8825, QPEps=2.2696)
Iter 25: .........*(NumConst=25, SV=9, CEps=104.7190, QPEps=0.0009)
Iter 26: .........*(NumConst=26, SV=9, CEps=81.4469, QPEps=0.0008)
Iter 27: .........*(NumConst=27, SV=10, CEps=72.0776, QPEps=0.0006)
Iter 28: .........*(NumConst=28, SV=11, CEps=89.1333, QPEps=33.0891)
Iter 29: .........*(NumConst=29, SV=14, CEps=61.2271, QPEps=17.9269)
Iter 30: .........*(NumConst=30, SV=11, CEps=60.4107, QPEps=28.5890)
Iter 31: .........*(NumConst=31, SV=12, CEps=71.0178, QPEps=15.5469)
Iter 32: .........*(NumConst=32, SV=12, CEps=52.9134, QPEps=11.8676)
Iter 33: .........*(NumConst=33, SV=13, CEps=59.6728, QPEps=16.0460)
Iter 34: .........*(NumConst=34, SV=10, CEps=51.5836, QPEps=7.4026)
Iter 35: .........*(NumConst=35, SV=12, CEps=52.2045, QPEps=23.8257)
Iter 36: .........*(NumConst=36, SV=11, CEps=42.4795, QPEps=16.6335)
Iter 37: .........*(NumConst=37, SV=11, CEps=38.9628, QPEps=12.0279)
Iter 38: .........*(NumConst=38, SV=10, CEps=31.1201, QPEps=3.8214)
Iter 39: .........*(NumConst=39, SV=11, CEps=45.3108, QPEps=12.8763)
Iter 40: .........*(NumConst=40, SV=10, CEps=32.0539, QPEps=11.0207)
Iter 41: .........*(NumConst=41, SV=11, CEps=26.7056, QPEps=11.7063)
Iter 42: .........*(NumConst=42, SV=13, CEps=25.0902, QPEps=5.3868)
Iter 43: .........*(NumConst=43, SV=12, CEps=29.7319, QPEps=6.1861)
Iter 44: .........*(NumConst=44, SV=10, CEps=32.0924, QPEps=0.0000)
Iter 45: .........*(NumConst=45, SV=11, CEps=29.3658, QPEps=7.3369)
Iter 46: .........*(NumConst=46, SV=13, CEps=18.2678, QPEps=7.7458)
Iter 47: .........*(NumConst=47, SV=12, CEps=36.3280, QPEps=2.2018)
Iter 48: .........*(NumConst=48, SV=11, CEps=14.2813, QPEps=4.0287)
Iter 49: .........*(NumConst=49, SV=13, CEps=37.2934, QPEps=6.0709)
Iter 50: .........*(NumConst=50, SV=10, CEps=20.0841, QPEps=0.0000)
Iter 51: .........*(NumConst=51, SV=10, CEps=18.9636, QPEps=6.4484)
Iter 52: .........*(NumConst=52, SV=10, CEps=21.7334, QPEps=2.9357)
Iter 53: .........*(NumConst=52, SV=11, CEps=15.9281, QPEps=1.3967)
Iter 54: .........*(NumConst=53, SV=10, CEps=17.2223, QPEps=0.0000)
Iter 55: .........*(NumConst=54, SV=12, CEps=9.4288, QPEps=3.9298)
Iter 56: .........*(NumConst=55, SV=10, CEps=14.3707, QPEps=3.4806)
Iter 57: .........*(NumConst=56, SV=10, CEps=11.4242, QPEps=0.9555)
Iter 58: .........*(NumConst=57, SV=9, CEps=18.3524, QPEps=0.0000)
Iter 59: .........*(NumConst=58, SV=12, CEps=7.4988, QPEps=2.2401)
Iter 60: .........*(NumConst=59, SV=11, CEps=10.0761, QPEps=3.4974)
Iter 61: .........*(NumConst=60, SV=9, CEps=7.9397, QPEps=3.5411)
Iter 62: .........*(NumConst=60, SV=10, CEps=6.3827, QPEps=0.6650)
Iter 63: .........*(NumConst=59, SV=11, CEps=7.1041, QPEps=2.1748)
Iter 64: .........*(NumConst=59, SV=10, CEps=7.8666, QPEps=0.0783)
Iter 65: .........*(NumConst=60, SV=10, CEps=7.2286, QPEps=0.0000)
Iter 66: .........*(NumConst=60, SV=10, CEps=5.5806, QPEps=0.4145)
Iter 67: .........*(NumConst=59, SV=10, CEps=5.5300, QPEps=0.8258)
Iter 68: .........*(NumConst=59, SV=10, CEps=5.3206, QPEps=1.9993)
Iter 69: .........*(NumConst=59, SV=11, CEps=6.7629, QPEps=2.5130)
Iter 70: .........*(NumConst=59, SV=12, CEps=3.4363, QPEps=0.3802)
Iter 71: .........*(NumConst=59, SV=11, CEps=6.3767, QPEps=0.4105)
Iter 72: .........*(NumConst=60, SV=10, CEps=7.0074, QPEps=0.0000)
Iter 73: .........*(NumConst=61, SV=13, CEps=3.4257, QPEps=1.7051)
Iter 74: .........*(NumConst=61, SV=11, CEps=4.8814, QPEps=1.5390)
Iter 75: .........*(NumConst=61, SV=11, CEps=8.2787, QPEps=0.9082)
Iter 76: .........*(NumConst=62, SV=11, CEps=4.8350, QPEps=1.2071)
Iter 77: .........*(NumConst=63, SV=11, CEps=3.4291, QPEps=1.3499)
Iter 78: .........*(NumConst=64, SV=11, CEps=3.5562, QPEps=1.0463)
Iter 79: .........*(NumConst=64, SV=12, CEps=3.2477, QPEps=1.1696)
Iter 80: .........*(NumConst=64, SV=12, CEps=2.1711, QPEps=0.6416)
Iter 81: .........*(NumConst=64, SV=8, CEps=3.0511, QPEps=0.7161)
Iter 82: .........*(NumConst=65, SV=9, CEps=2.5437, QPEps=0.6146)
Iter 83: .........*(NumConst=64, SV=10, CEps=2.3099, QPEps=0.6756)
Iter 84: .........*(NumConst=64, SV=10, CEps=2.8969, QPEps=0.0000)
Iter 85: .........*(NumConst=63, SV=12, CEps=1.6263, QPEps=0.1794)
Iter 86: .........*(NumConst=62, SV=10, CEps=1.7864, QPEps=0.7416)
Iter 87: .........*(NumConst=61, SV=10, CEps=2.9018, QPEps=0.6151)
Iter 88: .........*(NumConst=62, SV=11, CEps=1.6390, QPEps=0.7685)
Iter 89: .........*(NumConst=62, SV=10, CEps=1.6928, QPEps=0.5449)
Iter 90: .........*(NumConst=62, SV=12, CEps=1.5908, QPEps=0.7719)
Iter 91: .........*(NumConst=62, SV=12, CEps=3.1395, QPEps=0.0000)
Iter 92: .........*(NumConst=61, SV=12, CEps=1.5583, QPEps=0.0000)
Iter 93: .........*(NumConst=61, SV=16, CEps=1.1016, QPEps=0.3694)
Iter 94: .........*(NumConst=62, SV=15, CEps=1.9458, QPEps=0.5029)
Iter 95: .........*(NumConst=63, SV=12, CEps=1.4250, QPEps=0.0676)
Iter 96: .........*(NumConst=64, SV=13, CEps=1.4341, QPEps=0.4876)
Iter 97: .........*(NumConst=62, SV=13, CEps=0.8592, QPEps=0.2712)
Iter 98: .........*(NumConst=62, SV=13, CEps=0.9140, QPEps=0.3844)
Iter 99: .........*(NumConst=61, SV=13, CEps=0.9495, QPEps=0.3392)
Iter 100: .........*(NumConst=62, SV=13, CEps=1.0909, QPEps=0.3401)
Iter 101: .........*(NumConst=63, SV=11, CEps=1.2355, QPEps=0.0148)
Iter 102: .........*(NumConst=63, SV=12, CEps=0.8546, QPEps=0.3489)
Iter 103: .........*(NumConst=63, SV=13, CEps=1.0689, QPEps=0.3923)
Iter 104: .........*(NumConst=64, SV=12, CEps=0.7030, QPEps=0.3334)
Iter 105: .........*(NumConst=62, SV=10, CEps=0.7060, QPEps=0.0000)
Iter 106: .........*(NumConst=63, SV=11, CEps=0.6054, QPEps=0.1748)
Iter 107: .........*(NumConst=63, SV=10, CEps=0.6277, QPEps=0.2177)
Iter 108: .........*(NumConst=64, SV=10, CEps=0.9245, QPEps=0.2208)
Iter 109: .........(NumConst=64, SV=10, CEps=0.4235, QPEps=0.2208)
Final epsilon on KKT-Conditions: 0.42345
Upper bound on duality gap: 0.38803
Dual objective value: dval=269.37087
Primal objective value: pval=269.75891
Total number of constraints in final working set: 64 (of 108)
Number of iterations: 109
Number of calls to 'find_most_violated_constraint': 9810
Number of SV: 10 
Norm of weight vector: |w|=2.28341
Value of slack variable (on working set): xi=266.94909
Value of slack variable (global): xi=267.15193
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=274.95195
Runtime in cpu-seconds: 0.50
Compacting linear model...done
Writing learned model...done