Reading training examples...done
Training set properties: 49 features, 90 rankings, 8124 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.488833
Iter 1: .........*(NumConst=1, SV=1, CEps=488.8333, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1371.4816, QPEps=0.0001)
Iter 3: .........*(NumConst=3, SV=3, CEps=725.8295, QPEps=0.0004)
Iter 4: .........*(NumConst=4, SV=4, CEps=1358.2752, QPEps=0.0015)
Iter 5: .........*(NumConst=5, SV=4, CEps=606.7748, QPEps=0.0031)
Iter 6: .........*(NumConst=6, SV=6, CEps=423.8319, QPEps=0.0024)
Iter 7: .........*(NumConst=7, SV=5, CEps=776.1013, QPEps=0.0037)
Iter 8: .........*(NumConst=8, SV=6, CEps=575.4037, QPEps=0.0023)
Iter 9: .........*(NumConst=9, SV=6, CEps=810.6700, QPEps=0.0231)
Iter 10: .........*(NumConst=10, SV=7, CEps=830.2466, QPEps=36.0835)
Iter 11: .........*(NumConst=11, SV=8, CEps=1178.6148, QPEps=27.6267)
Iter 12: .........*(NumConst=12, SV=7, CEps=809.2495, QPEps=18.8247)
Iter 13: .........*(NumConst=13, SV=8, CEps=434.6610, QPEps=0.9634)
Iter 14: .........*(NumConst=14, SV=10, CEps=549.9582, QPEps=31.0283)
Iter 15: .........*(NumConst=15, SV=10, CEps=486.3598, QPEps=0.0125)
Iter 16: .........*(NumConst=16, SV=8, CEps=393.3869, QPEps=0.0027)
Iter 17: .........*(NumConst=17, SV=9, CEps=261.7162, QPEps=17.9481)
Iter 18: .........*(NumConst=18, SV=10, CEps=181.7899, QPEps=0.0019)
Iter 19: .........*(NumConst=19, SV=12, CEps=222.8536, QPEps=47.0131)
Iter 20: .........*(NumConst=20, SV=12, CEps=282.8598, QPEps=48.7580)
Iter 21: .........*(NumConst=21, SV=14, CEps=182.1571, QPEps=44.5912)
Iter 22: .........*(NumConst=22, SV=14, CEps=256.5555, QPEps=39.3542)
Iter 23: .........*(NumConst=23, SV=15, CEps=159.9443, QPEps=39.4596)
Iter 24: .........*(NumConst=24, SV=13, CEps=108.5311, QPEps=10.4287)
Iter 25: .........*(NumConst=25, SV=12, CEps=127.1014, QPEps=44.7856)
Iter 26: .........*(NumConst=26, SV=13, CEps=103.5488, QPEps=7.4730)
Iter 27: .........*(NumConst=27, SV=15, CEps=99.5266, QPEps=28.3561)
Iter 28: .........*(NumConst=28, SV=13, CEps=130.2951, QPEps=48.8397)
Iter 29: .........*(NumConst=29, SV=14, CEps=74.1560, QPEps=27.6698)
Iter 30: .........*(NumConst=30, SV=15, CEps=86.6741, QPEps=16.1493)
Iter 31: .........*(NumConst=31, SV=14, CEps=87.7098, QPEps=35.9332)
Iter 32: .........*(NumConst=32, SV=14, CEps=103.2558, QPEps=19.7820)
Iter 33: .........*(NumConst=33, SV=15, CEps=62.0534, QPEps=26.0642)
Iter 34: .........*(NumConst=34, SV=14, CEps=121.5304, QPEps=27.7910)
Iter 35: .........*(NumConst=35, SV=14, CEps=72.9572, QPEps=20.5294)
Iter 36: .........*(NumConst=36, SV=15, CEps=98.1713, QPEps=17.8606)
Iter 37: .........*(NumConst=37, SV=15, CEps=81.9671, QPEps=20.3399)
Iter 38: .........*(NumConst=38, SV=16, CEps=51.4251, QPEps=11.6337)
Iter 39: .........*(NumConst=39, SV=16, CEps=72.2392, QPEps=21.1447)
Iter 40: .........*(NumConst=40, SV=18, CEps=44.8754, QPEps=22.2381)
Iter 41: .........*(NumConst=41, SV=14, CEps=53.1855, QPEps=19.0219)
Iter 42: .........*(NumConst=42, SV=13, CEps=59.5055, QPEps=13.7424)
Iter 43: .........*(NumConst=43, SV=15, CEps=57.6222, QPEps=20.1478)
Iter 44: .........*(NumConst=44, SV=16, CEps=47.6168, QPEps=16.1599)
Iter 45: .........*(NumConst=45, SV=15, CEps=40.8935, QPEps=19.8958)
Iter 46: .........*(NumConst=46, SV=15, CEps=39.1483, QPEps=16.9242)
Iter 47: .........*(NumConst=47, SV=14, CEps=32.7665, QPEps=8.7662)
Iter 48: .........*(NumConst=48, SV=14, CEps=57.9355, QPEps=8.5841)
Iter 49: .........*(NumConst=49, SV=15, CEps=32.4125, QPEps=14.6227)
Iter 50: .........*(NumConst=50, SV=15, CEps=36.0657, QPEps=14.8838)
Iter 51: .........*(NumConst=51, SV=14, CEps=30.5741, QPEps=14.5207)
Iter 52: .........*(NumConst=52, SV=14, CEps=26.6273, QPEps=11.7966)
Iter 53: .........*(NumConst=53, SV=14, CEps=26.3296, QPEps=9.6308)
Iter 54: .........*(NumConst=54, SV=15, CEps=27.2876, QPEps=6.8254)
Iter 55: .........*(NumConst=55, SV=15, CEps=25.4151, QPEps=6.6100)
Iter 56: .........*(NumConst=55, SV=16, CEps=20.2918, QPEps=5.8242)
Iter 57: .........*(NumConst=56, SV=16, CEps=23.2259, QPEps=5.9403)
Iter 58: .........*(NumConst=57, SV=16, CEps=21.9054, QPEps=7.7388)
Iter 59: .........*(NumConst=58, SV=16, CEps=27.4866, QPEps=8.8444)
Iter 60: .........*(NumConst=59, SV=15, CEps=16.6611, QPEps=4.0099)
Iter 61: .........*(NumConst=59, SV=17, CEps=19.6550, QPEps=4.5212)
Iter 62: .........*(NumConst=60, SV=19, CEps=21.5756, QPEps=8.0867)
Iter 63: .........*(NumConst=61, SV=15, CEps=25.3073, QPEps=4.6868)
Iter 64: .........*(NumConst=61, SV=17, CEps=14.9710, QPEps=7.2197)
Iter 65: .........*(NumConst=60, SV=18, CEps=20.1603, QPEps=6.1467)
Iter 66: .........*(NumConst=61, SV=16, CEps=14.6610, QPEps=7.2806)
Iter 67: .........*(NumConst=62, SV=19, CEps=14.4430, QPEps=6.4084)
Iter 68: .........*(NumConst=63, SV=16, CEps=20.5161, QPEps=4.1590)
Iter 69: .........*(NumConst=64, SV=17, CEps=13.4468, QPEps=5.8301)
Iter 70: .........*(NumConst=65, SV=16, CEps=16.2592, QPEps=6.4405)
Iter 71: .........*(NumConst=65, SV=17, CEps=12.5492, QPEps=6.2632)
Iter 72: .........*(NumConst=65, SV=17, CEps=12.9671, QPEps=6.2491)
Iter 73: .........*(NumConst=66, SV=18, CEps=11.0989, QPEps=4.1696)
Iter 74: .........*(NumConst=66, SV=18, CEps=16.6110, QPEps=5.4801)
Iter 75: .........*(NumConst=67, SV=19, CEps=10.0483, QPEps=2.7116)
Iter 76: .........*(NumConst=67, SV=17, CEps=10.4806, QPEps=4.8767)
Iter 77: .........*(NumConst=65, SV=18, CEps=35.5450, QPEps=4.1768)
Iter 78: .........*(NumConst=65, SV=17, CEps=11.4381, QPEps=4.3108)
Iter 79: .........*(NumConst=65, SV=16, CEps=9.5812, QPEps=4.6489)
Iter 80: .........*(NumConst=65, SV=17, CEps=8.7520, QPEps=3.5416)
Iter 81: .........*(NumConst=66, SV=19, CEps=13.2360, QPEps=3.8775)
Iter 82: .........*(NumConst=66, SV=16, CEps=8.2708, QPEps=3.0131)
Iter 83: .........*(NumConst=66, SV=16, CEps=7.8133, QPEps=3.5173)
Iter 84: .........*(NumConst=67, SV=18, CEps=10.4532, QPEps=3.3063)
Iter 85: .........*(NumConst=67, SV=16, CEps=5.3066, QPEps=1.9695)
Iter 86: .........*(NumConst=67, SV=16, CEps=7.6766, QPEps=1.5579)
Iter 87: .........*(NumConst=67, SV=17, CEps=5.9902, QPEps=1.8951)
Iter 88: .........*(NumConst=66, SV=15, CEps=8.9169, QPEps=1.8427)
Iter 89: .........*(NumConst=67, SV=18, CEps=5.0811, QPEps=1.7482)
Iter 90: .........*(NumConst=64, SV=19, CEps=8.4850, QPEps=2.0995)
Iter 91: .........*(NumConst=64, SV=18, CEps=4.9648, QPEps=1.2881)
Iter 92: .........*(NumConst=65, SV=20, CEps=5.7031, QPEps=1.4704)
Iter 93: .........*(NumConst=66, SV=19, CEps=6.3129, QPEps=1.9112)
Iter 94: .........*(NumConst=65, SV=19, CEps=5.5686, QPEps=0.7893)
Iter 95: .........*(NumConst=65, SV=19, CEps=6.3501, QPEps=2.4797)
Iter 96: .........*(NumConst=63, SV=18, CEps=4.7309, QPEps=1.8070)
Iter 97: .........*(NumConst=63, SV=21, CEps=3.8170, QPEps=1.7721)
Iter 98: .........*(NumConst=64, SV=20, CEps=5.6695, QPEps=1.2219)
Iter 99: .........*(NumConst=64, SV=18, CEps=4.3684, QPEps=1.6533)
Iter 100: .........*(NumConst=63, SV=17, CEps=3.5711, QPEps=1.2628)
Iter 101: .........*(NumConst=64, SV=18, CEps=4.2129, QPEps=1.7255)
Iter 102: .........*(NumConst=65, SV=19, CEps=3.0786, QPEps=1.5091)
Iter 103: .........*(NumConst=65, SV=19, CEps=4.8318, QPEps=1.0616)
Iter 104: .........*(NumConst=66, SV=19, CEps=3.2622, QPEps=1.2279)
Iter 105: .........*(NumConst=67, SV=19, CEps=4.1222, QPEps=1.0669)
Iter 106: .........*(NumConst=68, SV=19, CEps=3.3363, QPEps=1.3832)
Iter 107: .........*(NumConst=68, SV=19, CEps=2.9489, QPEps=1.2523)
Iter 108: .........*(NumConst=69, SV=21, CEps=2.8962, QPEps=1.0621)
Iter 109: .........*(NumConst=70, SV=19, CEps=3.6984, QPEps=1.3860)
Iter 110: .........*(NumConst=71, SV=19, CEps=2.4296, QPEps=1.0083)
Iter 111: .........*(NumConst=72, SV=17, CEps=3.9694, QPEps=0.8862)
Iter 112: .........*(NumConst=69, SV=18, CEps=2.3625, QPEps=1.1222)
Iter 113: .........*(NumConst=70, SV=17, CEps=2.6292, QPEps=0.9937)
Iter 114: .........*(NumConst=71, SV=18, CEps=3.1380, QPEps=1.1493)
Iter 115: .........*(NumConst=71, SV=17, CEps=2.5513, QPEps=0.9577)
Iter 116: .........*(NumConst=71, SV=17, CEps=2.0564, QPEps=0.9627)
Iter 117: .........*(NumConst=70, SV=21, CEps=1.9012, QPEps=0.6375)
Iter 118: .........*(NumConst=71, SV=18, CEps=2.9303, QPEps=0.8754)
Iter 119: .........*(NumConst=71, SV=17, CEps=1.9323, QPEps=0.7786)
Iter 120: .........*(NumConst=72, SV=19, CEps=1.7996, QPEps=0.8718)
Iter 121: .........*(NumConst=73, SV=21, CEps=2.1424, QPEps=0.7081)
Iter 122: .........*(NumConst=73, SV=20, CEps=1.8492, QPEps=0.7534)
Iter 123: .........*(NumConst=70, SV=19, CEps=1.4245, QPEps=0.5778)
Iter 124: .........*(NumConst=71, SV=19, CEps=1.2533, QPEps=0.4005)
Iter 125: .........*(NumConst=71, SV=20, CEps=1.4501, QPEps=0.4585)
Iter 126: .........*(NumConst=72, SV=20, CEps=1.7334, QPEps=0.4465)
Iter 127: .........*(NumConst=71, SV=20, CEps=2.6617, QPEps=0.3813)
Iter 128: .........*(NumConst=72, SV=19, CEps=1.2369, QPEps=0.3481)
Iter 129: .........*(NumConst=71, SV=17, CEps=1.3476, QPEps=0.4834)
Iter 130: .........*(NumConst=72, SV=17, CEps=1.3262, QPEps=0.6134)
Iter 131: .........*(NumConst=70, SV=19, CEps=0.9220, QPEps=0.4575)
Iter 132: .........*(NumConst=70, SV=19, CEps=1.2005, QPEps=0.3784)
Iter 133: .........*(NumConst=71, SV=15, CEps=1.9289, QPEps=0.3178)
Iter 134: .........*(NumConst=70, SV=14, CEps=1.4097, QPEps=0.2114)
Iter 135: .........*(NumConst=71, SV=16, CEps=0.8939, QPEps=0.3506)
Iter 136: .........*(NumConst=72, SV=17, CEps=0.9526, QPEps=0.4337)
Iter 137: .........*(NumConst=71, SV=20, CEps=0.9398, QPEps=0.2989)
Iter 138: .........*(NumConst=72, SV=20, CEps=0.9453, QPEps=0.4025)
Iter 139: .........*(NumConst=72, SV=20, CEps=0.9680, QPEps=0.4441)
Iter 140: .........*(NumConst=71, SV=18, CEps=0.7293, QPEps=0.2215)
Iter 141: .........*(NumConst=72, SV=19, CEps=0.8856, QPEps=0.3375)
Iter 142: .........*(NumConst=72, SV=18, CEps=0.9804, QPEps=0.2249)
Iter 143: .........*(NumConst=71, SV=19, CEps=0.7750, QPEps=0.2628)
Iter 144: .........*(NumConst=72, SV=20, CEps=0.7797, QPEps=0.3329)
Iter 145: .........*(NumConst=72, SV=19, CEps=0.6209, QPEps=0.3043)
Iter 146: .........*(NumConst=72, SV=18, CEps=0.5610, QPEps=0.2539)
Iter 147: .........*(NumConst=71, SV=20, CEps=0.5066, QPEps=0.2060)
Iter 148: .........*(NumConst=69, SV=17, CEps=0.4987, QPEps=0.2105)
Iter 149: .........*(NumConst=69, SV=18, CEps=0.6684, QPEps=0.1583)
Iter 150: .........(NumConst=69, SV=18, CEps=0.4645, QPEps=0.1583)
Final epsilon on KKT-Conditions: 0.46447
Upper bound on duality gap: 0.22607
Dual objective value: dval=123.54612
Primal objective value: pval=123.77220
Total number of constraints in final working set: 69 (of 149)
Number of iterations: 150
Number of calls to 'find_most_violated_constraint': 13500
Number of SV: 18 
Norm of weight vector: |w|=2.83654
Value of slack variable (on working set): xi=239.13093
Value of slack variable (global): xi=239.49844
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=459.09675
Runtime in cpu-seconds: 0.51
Compacting linear model...done
Writing learned model...done