Reading training examples...done
Training set properties: 19 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=458.3458, QPEps=0.0005)
Iter 3: .........*(NumConst=3, SV=3, CEps=750.9069, QPEps=0.0049)
Iter 4: .........*(NumConst=4, SV=3, CEps=526.2372, QPEps=0.0002)
Iter 5: .........*(NumConst=5, SV=4, CEps=334.6253, QPEps=0.0002)
Iter 6: .........*(NumConst=6, SV=5, CEps=1063.7680, QPEps=0.0019)
Iter 7: .........*(NumConst=7, SV=6, CEps=1135.6199, QPEps=0.0071)
Iter 8: .........*(NumConst=8, SV=6, CEps=1605.2798, QPEps=0.5664)
Iter 9: .........*(NumConst=9, SV=5, CEps=701.2334, QPEps=25.7943)
Iter 10: .........*(NumConst=10, SV=6, CEps=386.3051, QPEps=43.1302)
Iter 11: .........*(NumConst=11, SV=7, CEps=273.2564, QPEps=43.1932)
Iter 12: .........*(NumConst=12, SV=7, CEps=362.7237, QPEps=0.2874)
Iter 13: .........*(NumConst=13, SV=8, CEps=212.2888, QPEps=8.0414)
Iter 14: .........*(NumConst=14, SV=8, CEps=127.6055, QPEps=10.7404)
Iter 15: .........*(NumConst=15, SV=8, CEps=160.3235, QPEps=0.0003)
Iter 16: .........*(NumConst=16, SV=9, CEps=78.1059, QPEps=22.1826)
Iter 17: .........*(NumConst=17, SV=8, CEps=126.1827, QPEps=17.7737)
Iter 18: .........*(NumConst=18, SV=8, CEps=102.7328, QPEps=10.5145)
Iter 19: .........*(NumConst=19, SV=8, CEps=93.1122, QPEps=0.3389)
Iter 20: .........*(NumConst=20, SV=8, CEps=87.6374, QPEps=0.0005)
Iter 21: .........*(NumConst=21, SV=8, CEps=77.7470, QPEps=0.1004)
Iter 22: .........*(NumConst=22, SV=8, CEps=68.0199, QPEps=0.0006)
Iter 23: .........*(NumConst=23, SV=8, CEps=47.4881, QPEps=0.0101)
Iter 24: .........*(NumConst=24, SV=9, CEps=57.0064, QPEps=0.0004)
Iter 25: .........*(NumConst=25, SV=8, CEps=82.7571, QPEps=0.0664)
Iter 26: .........*(NumConst=26, SV=9, CEps=36.6456, QPEps=16.3782)
Iter 27: .........*(NumConst=27, SV=9, CEps=74.3935, QPEps=0.0000)
Iter 28: .........*(NumConst=28, SV=9, CEps=48.4766, QPEps=0.0031)
Iter 29: .........*(NumConst=29, SV=9, CEps=35.9922, QPEps=14.6035)
Iter 30: .........*(NumConst=30, SV=9, CEps=33.5396, QPEps=6.1254)
Iter 31: .........*(NumConst=31, SV=8, CEps=51.0129, QPEps=0.1318)
Iter 32: .........*(NumConst=32, SV=8, CEps=19.9372, QPEps=6.5071)
Iter 33: .........*(NumConst=33, SV=9, CEps=32.7521, QPEps=0.0000)
Iter 34: .........*(NumConst=34, SV=8, CEps=23.3999, QPEps=0.0000)
Iter 35: .........*(NumConst=35, SV=9, CEps=21.7488, QPEps=5.5574)
Iter 36: .........*(NumConst=36, SV=10, CEps=32.1789, QPEps=1.4967)
Iter 37: .........*(NumConst=37, SV=9, CEps=18.0259, QPEps=3.1782)
Iter 38: .........*(NumConst=38, SV=9, CEps=27.6028, QPEps=0.0003)
Iter 39: .........*(NumConst=39, SV=8, CEps=14.1954, QPEps=4.0414)
Iter 40: .........*(NumConst=40, SV=10, CEps=16.3033, QPEps=2.6593)
Iter 41: .........*(NumConst=41, SV=9, CEps=18.4342, QPEps=0.0000)
Iter 42: .........*(NumConst=42, SV=9, CEps=10.2944, QPEps=3.9811)
Iter 43: .........*(NumConst=43, SV=10, CEps=17.1814, QPEps=1.4924)
Iter 44: .........*(NumConst=44, SV=10, CEps=15.2165, QPEps=1.8414)
Iter 45: .........*(NumConst=45, SV=10, CEps=18.9916, QPEps=2.5184)
Iter 46: .........*(NumConst=46, SV=11, CEps=9.2111, QPEps=2.9994)
Iter 47: .........*(NumConst=47, SV=10, CEps=9.4093, QPEps=1.3825)
Iter 48: .........*(NumConst=48, SV=9, CEps=13.3258, QPEps=0.0000)
Iter 49: .........*(NumConst=49, SV=9, CEps=8.9756, QPEps=0.6109)
Iter 50: .........*(NumConst=50, SV=10, CEps=13.6685, QPEps=4.1036)
Iter 51: .........*(NumConst=51, SV=9, CEps=9.4903, QPEps=2.7351)
Iter 52: .........*(NumConst=52, SV=9, CEps=5.4996, QPEps=0.0000)
Iter 53: .........*(NumConst=53, SV=9, CEps=7.2000, QPEps=0.0000)
Iter 54: .........*(NumConst=54, SV=9, CEps=5.8249, QPEps=1.7615)
Iter 55: .........*(NumConst=55, SV=8, CEps=5.5277, QPEps=0.0000)
Iter 56: .........*(NumConst=56, SV=12, CEps=4.9723, QPEps=2.1465)
Iter 57: .........*(NumConst=56, SV=10, CEps=7.4091, QPEps=2.0004)
Iter 58: .........*(NumConst=57, SV=10, CEps=5.6593, QPEps=1.8966)
Iter 59: .........*(NumConst=58, SV=9, CEps=2.9738, QPEps=0.0000)
Iter 60: .........*(NumConst=58, SV=9, CEps=4.3515, QPEps=0.0050)
Iter 61: .........*(NumConst=57, SV=8, CEps=5.3782, QPEps=0.6814)
Iter 62: .........*(NumConst=57, SV=9, CEps=5.3918, QPEps=1.2703)
Iter 63: .........*(NumConst=57, SV=10, CEps=5.9450, QPEps=0.0000)
Iter 64: .........*(NumConst=58, SV=10, CEps=3.5067, QPEps=0.0000)
Iter 65: .........*(NumConst=58, SV=10, CEps=3.2137, QPEps=0.0323)
Iter 66: .........*(NumConst=57, SV=9, CEps=4.6176, QPEps=0.7072)
Iter 67: .........*(NumConst=57, SV=9, CEps=3.4904, QPEps=0.6746)
Iter 68: .........*(NumConst=57, SV=10, CEps=2.4139, QPEps=0.8518)
Iter 69: .........*(NumConst=57, SV=9, CEps=2.5091, QPEps=1.1472)
Iter 70: .........*(NumConst=57, SV=10, CEps=2.8284, QPEps=0.3446)
Iter 71: .........*(NumConst=57, SV=10, CEps=2.8226, QPEps=0.9726)
Iter 72: .........*(NumConst=57, SV=9, CEps=3.5659, QPEps=0.5873)
Iter 73: .........*(NumConst=58, SV=10, CEps=1.7975, QPEps=0.0001)
Iter 74: .........*(NumConst=58, SV=9, CEps=1.3932, QPEps=0.1176)
Iter 75: .........*(NumConst=59, SV=8, CEps=1.6875, QPEps=0.5718)
Iter 76: .........*(NumConst=59, SV=7, CEps=1.8373, QPEps=0.2486)
Iter 77: .........*(NumConst=59, SV=8, CEps=1.2235, QPEps=0.3945)
Iter 78: .........*(NumConst=59, SV=8, CEps=1.2135, QPEps=0.0731)
Iter 79: .........*(NumConst=60, SV=9, CEps=0.7599, QPEps=0.0424)
Iter 80: .........*(NumConst=59, SV=8, CEps=1.3577, QPEps=0.0006)
Iter 81: .........*(NumConst=59, SV=10, CEps=1.0731, QPEps=0.0087)
Iter 82: .........*(NumConst=60, SV=10, CEps=1.4199, QPEps=0.1734)
Iter 83: .........*(NumConst=59, SV=9, CEps=0.7616, QPEps=0.0042)
Iter 84: .........*(NumConst=60, SV=9, CEps=1.1118, QPEps=0.2965)
Iter 85: .........*(NumConst=61, SV=8, CEps=0.6232, QPEps=0.0001)
Iter 86: .........*(NumConst=60, SV=8, CEps=0.9170, QPEps=0.0000)
Iter 87: .........*(NumConst=61, SV=11, CEps=1.0940, QPEps=0.2749)
Iter 88: .........*(NumConst=60, SV=9, CEps=0.7116, QPEps=0.1289)
Iter 89: .........*(NumConst=61, SV=10, CEps=0.5353, QPEps=0.1927)
Iter 90: .........*(NumConst=61, SV=9, CEps=0.5531, QPEps=0.1823)
Iter 91: .........*(NumConst=61, SV=10, CEps=0.5288, QPEps=0.0490)
Iter 92: .........(NumConst=61, SV=10, CEps=0.5073, QPEps=0.0490)
Final epsilon on KKT-Conditions: 0.50732
Upper bound on duality gap: 0.25365
Dual objective value: dval=130.73153
Primal objective value: pval=130.98518
Total number of constraints in final working set: 61 (of 91)
Number of iterations: 92
Number of calls to 'find_most_violated_constraint': 8280
Number of SV: 10 
Norm of weight vector: |w|=2.63504
Value of slack variable (on working set): xi=254.56860
Value of slack variable (global): xi=255.02692
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=301.09279
Runtime in cpu-seconds: 0.26
Compacting linear model...done
Writing learned model...done