Reading training examples...done
Training set properties: 19 features, 180 rankings, 15555 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.003494
Iter 1: .........*(NumConst=1, SV=1, CEps=1003.4944, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1081.9045, QPEps=0.0005)
Iter 3: .........*(NumConst=3, SV=3, CEps=2681.4300, QPEps=0.0017)
Iter 4: .........*(NumConst=4, SV=4, CEps=1898.2580, QPEps=0.0024)
Iter 5: .........*(NumConst=5, SV=5, CEps=1478.0845, QPEps=0.0012)
Iter 6: .........*(NumConst=6, SV=5, CEps=1850.2352, QPEps=0.0009)
Iter 7: .........*(NumConst=7, SV=6, CEps=1024.0515, QPEps=0.0048)
Iter 8: .........*(NumConst=8, SV=6, CEps=2872.7730, QPEps=0.0138)
Iter 9: .........*(NumConst=9, SV=6, CEps=6706.9684, QPEps=46.8008)
Iter 10: .........*(NumConst=10, SV=8, CEps=2117.7072, QPEps=0.0048)
Iter 11: .........*(NumConst=11, SV=9, CEps=1537.6515, QPEps=0.0079)
Iter 12: .........*(NumConst=12, SV=10, CEps=652.6142, QPEps=29.9996)
Iter 13: .........*(NumConst=13, SV=11, CEps=591.5799, QPEps=31.6486)
Iter 14: .........*(NumConst=14, SV=11, CEps=447.7095, QPEps=31.0838)
Iter 15: .........*(NumConst=15, SV=13, CEps=372.9848, QPEps=30.8522)
Iter 16: .........*(NumConst=16, SV=12, CEps=466.2228, QPEps=8.9959)
Iter 17: .........*(NumConst=17, SV=14, CEps=294.5461, QPEps=48.2813)
Iter 18: .........*(NumConst=18, SV=13, CEps=358.9733, QPEps=38.8454)
Iter 19: .........*(NumConst=19, SV=13, CEps=400.0658, QPEps=43.9959)
Iter 20: .........*(NumConst=20, SV=14, CEps=327.2865, QPEps=43.2053)
Iter 21: .........*(NumConst=21, SV=13, CEps=305.5503, QPEps=44.1324)
Iter 22: .........*(NumConst=22, SV=12, CEps=338.4646, QPEps=23.3738)
Iter 23: .........*(NumConst=23, SV=13, CEps=239.0130, QPEps=20.1798)
Iter 24: .........*(NumConst=24, SV=15, CEps=309.1050, QPEps=35.2357)
Iter 25: .........*(NumConst=25, SV=12, CEps=221.6143, QPEps=10.4787)
Iter 26: .........*(NumConst=26, SV=12, CEps=176.2688, QPEps=34.1990)
Iter 27: .........*(NumConst=27, SV=13, CEps=191.6032, QPEps=37.0099)
Iter 28: .........*(NumConst=28, SV=15, CEps=305.7875, QPEps=27.5854)
Iter 29: .........*(NumConst=29, SV=15, CEps=239.1827, QPEps=41.8875)
Iter 30: .........*(NumConst=30, SV=14, CEps=205.1272, QPEps=13.8066)
Iter 31: .........*(NumConst=31, SV=17, CEps=154.0486, QPEps=46.9849)
Iter 32: .........*(NumConst=32, SV=15, CEps=313.9759, QPEps=34.4250)
Iter 33: .........*(NumConst=33, SV=14, CEps=159.5619, QPEps=27.3517)
Iter 34: .........*(NumConst=34, SV=15, CEps=144.4159, QPEps=19.7264)
Iter 35: .........*(NumConst=35, SV=12, CEps=173.0362, QPEps=36.0205)
Iter 36: .........*(NumConst=36, SV=12, CEps=119.1108, QPEps=24.3906)
Iter 37: .........*(NumConst=37, SV=13, CEps=161.3138, QPEps=46.5402)
Iter 38: .........*(NumConst=38, SV=12, CEps=162.1217, QPEps=40.8366)
Iter 39: .........*(NumConst=39, SV=16, CEps=95.0189, QPEps=46.4169)
Iter 40: .........*(NumConst=40, SV=13, CEps=155.5440, QPEps=37.1790)
Iter 41: .........*(NumConst=41, SV=17, CEps=87.2223, QPEps=34.2326)
Iter 42: .........*(NumConst=42, SV=16, CEps=123.3706, QPEps=35.2647)
Iter 43: .........*(NumConst=43, SV=13, CEps=84.2637, QPEps=37.6183)
Iter 44: .........*(NumConst=44, SV=14, CEps=82.1945, QPEps=18.1574)
Iter 45: .........*(NumConst=45, SV=15, CEps=78.5341, QPEps=29.8836)
Iter 46: .........*(NumConst=46, SV=15, CEps=70.3878, QPEps=31.8137)
Iter 47: .........*(NumConst=47, SV=15, CEps=63.1899, QPEps=13.4181)
Iter 48: .........*(NumConst=48, SV=16, CEps=70.6144, QPEps=26.7035)
Iter 49: .........*(NumConst=49, SV=15, CEps=63.9854, QPEps=17.3973)
Iter 50: .........*(NumConst=50, SV=16, CEps=59.8845, QPEps=22.1790)
Iter 51: .........*(NumConst=51, SV=16, CEps=53.5842, QPEps=19.6036)
Iter 52: .........*(NumConst=52, SV=17, CEps=46.3559, QPEps=19.4255)
Iter 53: .........*(NumConst=53, SV=17, CEps=60.4540, QPEps=18.9029)
Iter 54: .........*(NumConst=54, SV=19, CEps=33.0500, QPEps=15.6546)
Iter 55: .........*(NumConst=55, SV=15, CEps=48.5500, QPEps=14.4782)
Iter 56: .........*(NumConst=56, SV=16, CEps=39.2285, QPEps=14.9596)
Iter 57: .........*(NumConst=57, SV=18, CEps=72.7313, QPEps=12.8976)
Iter 58: .........*(NumConst=58, SV=16, CEps=58.5006, QPEps=13.9597)
Iter 59: .........*(NumConst=59, SV=17, CEps=46.3320, QPEps=14.7138)
Iter 60: .........*(NumConst=60, SV=16, CEps=34.1446, QPEps=10.7427)
Iter 61: .........*(NumConst=61, SV=18, CEps=36.3912, QPEps=15.8491)
Iter 62: .........*(NumConst=62, SV=16, CEps=46.9214, QPEps=12.1124)
Iter 63: .........*(NumConst=63, SV=18, CEps=44.9651, QPEps=16.1910)
Iter 64: .........*(NumConst=64, SV=19, CEps=38.8680, QPEps=12.5747)
Iter 65: .........*(NumConst=65, SV=17, CEps=30.7098, QPEps=6.1160)
Iter 66: .........*(NumConst=66, SV=17, CEps=28.4560, QPEps=13.9810)
Iter 67: .........*(NumConst=66, SV=16, CEps=41.6048, QPEps=5.3274)
Iter 68: .........*(NumConst=64, SV=16, CEps=32.0185, QPEps=12.1006)
Iter 69: .........*(NumConst=64, SV=18, CEps=30.0318, QPEps=11.6011)
Iter 70: .........*(NumConst=64, SV=18, CEps=30.1553, QPEps=11.5395)
Iter 71: .........*(NumConst=64, SV=19, CEps=21.1777, QPEps=7.7911)
Iter 72: .........*(NumConst=64, SV=18, CEps=21.8758, QPEps=8.2052)
Iter 73: .........*(NumConst=64, SV=18, CEps=24.9299, QPEps=7.2550)
Iter 74: .........*(NumConst=62, SV=17, CEps=26.0704, QPEps=9.6211)
Iter 75: .........*(NumConst=63, SV=18, CEps=27.6484, QPEps=7.1141)
Iter 76: .........*(NumConst=64, SV=18, CEps=18.7986, QPEps=7.2163)
Iter 77: .........*(NumConst=65, SV=18, CEps=19.4099, QPEps=8.8518)
Iter 78: .........*(NumConst=66, SV=18, CEps=21.4311, QPEps=8.7587)
Iter 79: .........*(NumConst=67, SV=17, CEps=21.3842, QPEps=2.7463)
Iter 80: .........*(NumConst=68, SV=17, CEps=16.5959, QPEps=5.9063)
Iter 81: .........*(NumConst=68, SV=19, CEps=14.2624, QPEps=6.0290)
Iter 82: .........*(NumConst=68, SV=18, CEps=14.7460, QPEps=6.8887)
Iter 83: .........*(NumConst=69, SV=16, CEps=13.8291, QPEps=6.6114)
Iter 84: .........*(NumConst=68, SV=15, CEps=15.7550, QPEps=6.4827)
Iter 85: .........*(NumConst=68, SV=18, CEps=14.0658, QPEps=5.0775)
Iter 86: .........*(NumConst=68, SV=15, CEps=12.4543, QPEps=5.8341)
Iter 87: .........*(NumConst=69, SV=15, CEps=12.9007, QPEps=4.5802)
Iter 88: .........*(NumConst=70, SV=13, CEps=11.6029, QPEps=2.2135)
Iter 89: .........*(NumConst=68, SV=13, CEps=14.0212, QPEps=4.7056)
Iter 90: .........*(NumConst=69, SV=17, CEps=8.0164, QPEps=3.9837)
Iter 91: .........*(NumConst=68, SV=17, CEps=15.1936, QPEps=2.9429)
Iter 92: .........*(NumConst=67, SV=17, CEps=13.6310, QPEps=3.3422)
Iter 93: .........*(NumConst=68, SV=15, CEps=10.6325, QPEps=2.8291)
Iter 94: .........*(NumConst=68, SV=16, CEps=7.0551, QPEps=1.9804)
Iter 95: .........*(NumConst=68, SV=15, CEps=17.9487, QPEps=3.0369)
Iter 96: .........*(NumConst=68, SV=14, CEps=9.6319, QPEps=2.9169)
Iter 97: .........*(NumConst=68, SV=15, CEps=9.0188, QPEps=2.5732)
Iter 98: .........*(NumConst=69, SV=16, CEps=6.1834, QPEps=1.8412)
Iter 99: .........*(NumConst=70, SV=14, CEps=7.5735, QPEps=2.5746)
Iter 100: .........*(NumConst=71, SV=15, CEps=9.9882, QPEps=1.3023)
Iter 101: .........*(NumConst=70, SV=14, CEps=5.2540, QPEps=1.0169)
Iter 102: .........*(NumConst=71, SV=13, CEps=7.5378, QPEps=0.3974)
Iter 103: .........*(NumConst=71, SV=16, CEps=5.9753, QPEps=1.9660)
Iter 104: .........*(NumConst=69, SV=15, CEps=6.7357, QPEps=2.1580)
Iter 105: .........*(NumConst=69, SV=14, CEps=4.0473, QPEps=0.8026)
Iter 106: .........*(NumConst=69, SV=17, CEps=7.2051, QPEps=0.7466)
Iter 107: .........*(NumConst=69, SV=15, CEps=6.5648, QPEps=1.9120)
Iter 108: .........*(NumConst=70, SV=16, CEps=4.5546, QPEps=1.2097)
Iter 109: .........*(NumConst=71, SV=16, CEps=4.9371, QPEps=1.9696)
Iter 110: .........*(NumConst=72, SV=13, CEps=4.6418, QPEps=0.5056)
Iter 111: .........*(NumConst=73, SV=14, CEps=5.9247, QPEps=1.6749)
Iter 112: .........*(NumConst=74, SV=15, CEps=3.4695, QPEps=1.5141)
Iter 113: .........*(NumConst=73, SV=15, CEps=5.9574, QPEps=1.1843)
Iter 114: .........*(NumConst=72, SV=16, CEps=3.5662, QPEps=1.0067)
Iter 115: .........*(NumConst=72, SV=18, CEps=3.9361, QPEps=1.7240)
Iter 116: .........*(NumConst=72, SV=18, CEps=3.2828, QPEps=1.3147)
Iter 117: .........*(NumConst=71, SV=19, CEps=4.1691, QPEps=1.5380)
Iter 118: .........*(NumConst=72, SV=19, CEps=3.7580, QPEps=1.3684)
Iter 119: .........*(NumConst=73, SV=20, CEps=3.0649, QPEps=0.8560)
Iter 120: .........*(NumConst=73, SV=18, CEps=4.5155, QPEps=1.5081)
Iter 121: .........*(NumConst=72, SV=19, CEps=3.4421, QPEps=1.5068)
Iter 122: .........*(NumConst=71, SV=18, CEps=2.9120, QPEps=1.1504)
Iter 123: .........*(NumConst=70, SV=20, CEps=2.6844, QPEps=1.2397)
Iter 124: .........*(NumConst=71, SV=19, CEps=3.6400, QPEps=1.1922)
Iter 125: .........*(NumConst=71, SV=18, CEps=3.4360, QPEps=1.1246)
Iter 126: .........*(NumConst=71, SV=19, CEps=4.3091, QPEps=1.0575)
Iter 127: .........*(NumConst=71, SV=20, CEps=2.0488, QPEps=0.9829)
Iter 128: .........*(NumConst=70, SV=16, CEps=3.1175, QPEps=0.5347)
Iter 129: .........*(NumConst=70, SV=17, CEps=2.6197, QPEps=0.8207)
Iter 130: .........*(NumConst=71, SV=19, CEps=2.0656, QPEps=0.9315)
Iter 131: .........*(NumConst=71, SV=17, CEps=2.1036, QPEps=0.5895)
Iter 132: .........*(NumConst=71, SV=19, CEps=1.9331, QPEps=0.7371)
Iter 133: .........*(NumConst=70, SV=20, CEps=2.7611, QPEps=0.9632)
Iter 134: .........*(NumConst=70, SV=18, CEps=1.9117, QPEps=0.4326)
Iter 135: .........*(NumConst=68, SV=19, CEps=1.5533, QPEps=0.4279)
Iter 136: .........*(NumConst=69, SV=19, CEps=1.8984, QPEps=0.6755)
Iter 137: .........*(NumConst=69, SV=18, CEps=1.3801, QPEps=0.6168)
Iter 138: .........*(NumConst=70, SV=16, CEps=1.1709, QPEps=0.2382)
Iter 139: .........*(NumConst=70, SV=17, CEps=1.0842, QPEps=0.1563)
Iter 140: .........*(NumConst=69, SV=16, CEps=1.4267, QPEps=0.3414)
Iter 141: .........(NumConst=69, SV=16, CEps=0.9454, QPEps=0.3414)
Final epsilon on KKT-Conditions: 0.94538
Upper bound on duality gap: 0.91538
Dual objective value: dval=639.34581
Primal objective value: pval=640.26120
Total number of constraints in final working set: 69 (of 140)
Number of iterations: 141
Number of calls to 'find_most_violated_constraint': 25380
Number of SV: 16 
Norm of weight vector: |w|=1.73332
Value of slack variable (on working set): xi=638.15506
Value of slack variable (global): xi=638.75899
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=636.41195
Runtime in cpu-seconds: 0.59
Compacting linear model...done
Writing learned model...done