Reading training examples...done
Training set properties: 104 features, 90 rankings, 8156 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.521156
Iter 1: .........*(NumConst=1, SV=1, CEps=521.1556, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=357.9826, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=3, CEps=608.7057, QPEps=0.0002)
Iter 4: .........*(NumConst=4, SV=3, CEps=1251.0425, QPEps=0.0002)
Iter 5: .........*(NumConst=5, SV=3, CEps=382.6769, QPEps=6.9640)
Iter 6: .........*(NumConst=6, SV=5, CEps=732.8215, QPEps=0.0008)
Iter 7: .........*(NumConst=7, SV=4, CEps=1105.7490, QPEps=16.3814)
Iter 8: .........*(NumConst=8, SV=6, CEps=685.2262, QPEps=0.0004)
Iter 9: .........*(NumConst=9, SV=5, CEps=1087.2619, QPEps=28.5352)
Iter 10: .........*(NumConst=10, SV=7, CEps=1392.0817, QPEps=45.6072)
Iter 11: .........*(NumConst=11, SV=8, CEps=1224.0937, QPEps=38.1768)
Iter 12: .........*(NumConst=12, SV=7, CEps=735.4889, QPEps=25.9607)
Iter 13: .........*(NumConst=13, SV=8, CEps=280.1246, QPEps=0.0010)
Iter 14: .........*(NumConst=14, SV=8, CEps=431.1135, QPEps=0.0001)
Iter 15: .........*(NumConst=15, SV=9, CEps=206.1640, QPEps=0.0001)
Iter 16: .........*(NumConst=16, SV=9, CEps=208.0372, QPEps=0.0005)
Iter 17: .........*(NumConst=17, SV=9, CEps=193.1569, QPEps=48.0048)
Iter 18: .........*(NumConst=18, SV=10, CEps=214.2105, QPEps=0.0001)
Iter 19: .........*(NumConst=19, SV=11, CEps=126.1020, QPEps=9.9233)
Iter 20: .........*(NumConst=20, SV=13, CEps=146.3020, QPEps=0.0000)
Iter 21: .........*(NumConst=21, SV=13, CEps=108.0338, QPEps=0.0003)
Iter 22: .........*(NumConst=22, SV=13, CEps=113.5444, QPEps=0.0001)
Iter 23: .........*(NumConst=23, SV=14, CEps=85.5394, QPEps=14.1185)
Iter 24: .........*(NumConst=24, SV=14, CEps=144.9254, QPEps=28.1946)
Iter 25: .........*(NumConst=25, SV=15, CEps=103.5331, QPEps=17.0569)
Iter 26: .........*(NumConst=26, SV=14, CEps=97.2655, QPEps=0.8205)
Iter 27: .........*(NumConst=27, SV=14, CEps=92.1750, QPEps=18.7620)
Iter 28: .........*(NumConst=28, SV=15, CEps=62.3750, QPEps=29.5832)
Iter 29: .........*(NumConst=29, SV=16, CEps=135.0941, QPEps=29.2406)
Iter 30: .........*(NumConst=30, SV=16, CEps=74.3325, QPEps=14.4820)
Iter 31: .........*(NumConst=31, SV=16, CEps=65.7762, QPEps=19.6433)
Iter 32: .........*(NumConst=32, SV=14, CEps=70.4120, QPEps=13.5519)
Iter 33: .........*(NumConst=33, SV=15, CEps=64.0799, QPEps=26.8021)
Iter 34: .........*(NumConst=34, SV=16, CEps=53.0054, QPEps=21.9959)
Iter 35: .........*(NumConst=35, SV=19, CEps=46.9207, QPEps=16.0024)
Iter 36: .........*(NumConst=36, SV=15, CEps=55.9896, QPEps=10.8078)
Iter 37: .........*(NumConst=37, SV=15, CEps=37.7270, QPEps=14.0414)
Iter 38: .........*(NumConst=38, SV=15, CEps=53.5455, QPEps=13.7530)
Iter 39: .........*(NumConst=39, SV=18, CEps=44.9477, QPEps=17.9772)
Iter 40: .........*(NumConst=40, SV=18, CEps=54.2615, QPEps=18.6637)
Iter 41: .........*(NumConst=41, SV=16, CEps=41.2721, QPEps=12.8750)
Iter 42: .........*(NumConst=42, SV=15, CEps=37.2340, QPEps=14.4306)
Iter 43: .........*(NumConst=43, SV=16, CEps=41.9111, QPEps=17.3024)
Iter 44: .........*(NumConst=44, SV=18, CEps=29.3534, QPEps=11.8810)
Iter 45: .........*(NumConst=45, SV=17, CEps=26.6262, QPEps=9.6931)
Iter 46: .........*(NumConst=46, SV=17, CEps=47.5126, QPEps=5.1603)
Iter 47: .........*(NumConst=47, SV=16, CEps=33.1203, QPEps=13.0200)
Iter 48: .........*(NumConst=48, SV=17, CEps=36.9614, QPEps=3.0578)
Iter 49: .........*(NumConst=49, SV=18, CEps=23.1101, QPEps=9.1237)
Iter 50: .........*(NumConst=50, SV=18, CEps=27.1251, QPEps=4.0492)
Iter 51: .........*(NumConst=51, SV=17, CEps=26.0318, QPEps=3.1283)
Iter 52: .........*(NumConst=52, SV=19, CEps=21.7950, QPEps=9.6366)
Iter 53: .........*(NumConst=52, SV=19, CEps=27.8364, QPEps=1.2311)
Iter 54: .........*(NumConst=53, SV=19, CEps=16.1401, QPEps=5.0051)
Iter 55: .........*(NumConst=54, SV=19, CEps=23.4025, QPEps=7.8593)
Iter 56: .........*(NumConst=54, SV=20, CEps=15.8948, QPEps=6.5009)
Iter 57: .........*(NumConst=55, SV=21, CEps=19.1741, QPEps=6.7543)
Iter 58: .........*(NumConst=55, SV=21, CEps=21.7701, QPEps=3.2827)
Iter 59: .........*(NumConst=56, SV=22, CEps=13.8172, QPEps=5.5285)
Iter 60: .........*(NumConst=57, SV=22, CEps=16.1521, QPEps=6.6053)
Iter 61: .........*(NumConst=57, SV=23, CEps=16.6702, QPEps=6.2912)
Iter 62: .........*(NumConst=58, SV=21, CEps=14.7670, QPEps=6.7876)
Iter 63: .........*(NumConst=59, SV=22, CEps=11.6689, QPEps=3.6859)
Iter 64: .........*(NumConst=60, SV=23, CEps=10.9622, QPEps=4.3736)
Iter 65: .........*(NumConst=61, SV=23, CEps=10.3171, QPEps=3.4138)
Iter 66: .........*(NumConst=61, SV=22, CEps=13.4391, QPEps=2.8046)
Iter 67: .........*(NumConst=62, SV=22, CEps=13.3934, QPEps=3.6294)
Iter 68: .........*(NumConst=62, SV=21, CEps=7.5624, QPEps=2.7279)
Iter 69: .........*(NumConst=62, SV=23, CEps=7.6771, QPEps=3.5912)
Iter 70: .........*(NumConst=62, SV=23, CEps=11.5326, QPEps=2.5556)
Iter 71: .........*(NumConst=63, SV=21, CEps=10.8304, QPEps=2.0987)
Iter 72: .........*(NumConst=64, SV=20, CEps=9.8537, QPEps=2.1803)
Iter 73: .........*(NumConst=64, SV=24, CEps=6.4520, QPEps=3.0281)
Iter 74: .........*(NumConst=65, SV=25, CEps=8.5539, QPEps=2.8813)
Iter 75: .........*(NumConst=65, SV=25, CEps=10.0066, QPEps=2.6603)
Iter 76: .........*(NumConst=66, SV=25, CEps=7.5872, QPEps=2.9423)
Iter 77: .........*(NumConst=67, SV=25, CEps=6.8951, QPEps=1.8096)
Iter 78: .........*(NumConst=68, SV=24, CEps=7.0559, QPEps=2.0703)
Iter 79: .........*(NumConst=69, SV=25, CEps=5.5250, QPEps=1.8531)
Iter 80: .........*(NumConst=70, SV=25, CEps=5.3087, QPEps=2.2120)
Iter 81: .........*(NumConst=68, SV=25, CEps=4.0931, QPEps=0.8939)
Iter 82: .........*(NumConst=69, SV=25, CEps=4.6735, QPEps=1.4472)
Iter 83: .........*(NumConst=69, SV=25, CEps=4.7346, QPEps=1.0561)
Iter 84: .........*(NumConst=70, SV=24, CEps=3.5813, QPEps=0.8494)
Iter 85: .........*(NumConst=69, SV=26, CEps=3.6297, QPEps=1.7660)
Iter 86: .........*(NumConst=69, SV=26, CEps=3.2729, QPEps=1.4614)
Iter 87: .........*(NumConst=70, SV=26, CEps=5.1985, QPEps=1.6307)
Iter 88: .........*(NumConst=71, SV=26, CEps=3.3426, QPEps=1.4634)
Iter 89: .........*(NumConst=69, SV=25, CEps=3.2192, QPEps=1.0854)
Iter 90: .........*(NumConst=67, SV=27, CEps=3.5849, QPEps=1.2809)
Iter 91: .........*(NumConst=68, SV=24, CEps=3.1319, QPEps=1.2270)
Iter 92: .........*(NumConst=69, SV=24, CEps=3.2262, QPEps=0.8989)
Iter 93: .........*(NumConst=69, SV=26, CEps=2.3070, QPEps=0.9365)
Iter 94: .........*(NumConst=69, SV=27, CEps=3.4638, QPEps=0.8644)
Iter 95: .........*(NumConst=68, SV=27, CEps=2.9358, QPEps=1.0508)
Iter 96: .........*(NumConst=69, SV=25, CEps=2.5902, QPEps=0.5045)
Iter 97: .........*(NumConst=70, SV=25, CEps=2.7968, QPEps=0.6774)
Iter 98: .........*(NumConst=69, SV=26, CEps=2.6462, QPEps=1.0872)
Iter 99: .........*(NumConst=70, SV=28, CEps=1.8671, QPEps=0.8028)
Iter 100: .........*(NumConst=69, SV=27, CEps=1.8643, QPEps=0.0654)
Iter 101: .........*(NumConst=70, SV=27, CEps=1.7779, QPEps=0.4349)
Iter 102: .........*(NumConst=70, SV=28, CEps=2.2741, QPEps=0.7117)
Iter 103: .........*(NumConst=70, SV=28, CEps=1.1419, QPEps=0.4442)
Iter 104: .........*(NumConst=69, SV=28, CEps=2.1503, QPEps=0.4785)
Iter 105: .........*(NumConst=69, SV=29, CEps=1.8815, QPEps=0.3104)
Iter 106: .........*(NumConst=70, SV=26, CEps=1.1397, QPEps=0.5517)
Iter 107: .........*(NumConst=71, SV=30, CEps=2.2958, QPEps=0.5452)
Iter 108: .........*(NumConst=72, SV=30, CEps=1.3188, QPEps=0.5311)
Iter 109: .........*(NumConst=72, SV=28, CEps=1.6699, QPEps=0.3868)
Iter 110: .........*(NumConst=73, SV=25, CEps=1.4461, QPEps=0.3031)
Iter 111: .........*(NumConst=73, SV=27, CEps=1.3789, QPEps=0.5644)
Iter 112: .........*(NumConst=74, SV=28, CEps=1.7473, QPEps=0.4343)
Iter 113: .........*(NumConst=75, SV=27, CEps=1.0285, QPEps=0.4406)
Iter 114: .........*(NumConst=73, SV=27, CEps=1.1969, QPEps=0.2629)
Iter 115: .........*(NumConst=73, SV=28, CEps=0.8958, QPEps=0.3469)
Iter 116: .........*(NumConst=73, SV=27, CEps=1.6607, QPEps=0.3464)
Iter 117: .........*(NumConst=73, SV=28, CEps=1.2000, QPEps=0.1343)
Iter 118: .........*(NumConst=74, SV=26, CEps=0.8198, QPEps=0.3959)
Iter 119: .........*(NumConst=75, SV=25, CEps=1.0676, QPEps=0.0714)
Iter 120: .........*(NumConst=75, SV=26, CEps=0.6541, QPEps=0.2199)
Iter 121: .........*(NumConst=75, SV=28, CEps=0.8649, QPEps=0.2028)
Iter 122: .........*(NumConst=75, SV=28, CEps=0.7662, QPEps=0.2402)
Iter 123: .........*(NumConst=76, SV=28, CEps=0.6666, QPEps=0.1945)
Iter 124: .........*(NumConst=76, SV=31, CEps=0.5735, QPEps=0.2644)
Iter 125: .........*(NumConst=76, SV=31, CEps=0.6074, QPEps=0.1356)
Iter 126: .........*(NumConst=76, SV=31, CEps=0.6280, QPEps=0.1609)
Iter 127: .........*(NumConst=75, SV=28, CEps=0.5466, QPEps=0.2701)
Iter 128: .........*(NumConst=75, SV=29, CEps=0.5468, QPEps=0.1772)
Iter 129: .........*(NumConst=76, SV=30, CEps=0.5731, QPEps=0.2536)
Iter 130: .........(NumConst=76, SV=30, CEps=0.4790, QPEps=0.2536)
Final epsilon on KKT-Conditions: 0.47904
Upper bound on duality gap: 0.01436
Dual objective value: dval=6.96136
Primal objective value: pval=6.97572
Total number of constraints in final working set: 76 (of 129)
Number of iterations: 130
Number of calls to 'find_most_violated_constraint': 11700
Number of SV: 30 
Norm of weight vector: |w|=0.89405
Value of slack variable (on working set): xi=218.90044
Value of slack variable (global): xi=219.20189
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=1996.30460
Runtime in cpu-seconds: 0.68
Compacting linear model...done
Writing learned model...done