Reading training examples...done
Training set properties: 104 features, 180 rankings, 15673 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.998928
Iter 1: .........*(NumConst=1, SV=1, CEps=998.9278, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=742.2512, QPEps=0.0001)
Iter 3: .........*(NumConst=3, SV=2, CEps=1098.9535, QPEps=0.0007)
Iter 4: .........*(NumConst=4, SV=4, CEps=1014.5400, QPEps=0.0002)
Iter 5: .........*(NumConst=5, SV=5, CEps=1196.4794, QPEps=0.0004)
Iter 6: .........*(NumConst=6, SV=5, CEps=580.3165, QPEps=0.0001)
Iter 7: .........*(NumConst=7, SV=6, CEps=420.1185, QPEps=0.0008)
Iter 8: .........*(NumConst=8, SV=6, CEps=261.1426, QPEps=24.0525)
Iter 9: .........*(NumConst=9, SV=6, CEps=280.2887, QPEps=18.4425)
Iter 10: .........*(NumConst=10, SV=7, CEps=163.5423, QPEps=44.2391)
Iter 11: .........*(NumConst=11, SV=6, CEps=189.2282, QPEps=4.5438)
Iter 12: .........*(NumConst=12, SV=6, CEps=299.1855, QPEps=49.6448)
Iter 13: .........*(NumConst=13, SV=6, CEps=190.8470, QPEps=26.3692)
Iter 14: .........*(NumConst=14, SV=6, CEps=152.7918, QPEps=31.8025)
Iter 15: .........*(NumConst=15, SV=7, CEps=127.2723, QPEps=14.6505)
Iter 16: .........*(NumConst=16, SV=7, CEps=159.1264, QPEps=49.4762)
Iter 17: .........*(NumConst=17, SV=8, CEps=82.5507, QPEps=38.2754)
Iter 18: .........*(NumConst=18, SV=7, CEps=88.2919, QPEps=12.1994)
Iter 19: .........*(NumConst=19, SV=8, CEps=61.4259, QPEps=12.4311)
Iter 20: .........*(NumConst=20, SV=6, CEps=51.0290, QPEps=20.3897)
Iter 21: .........*(NumConst=21, SV=8, CEps=52.1756, QPEps=0.0000)
Iter 22: .........*(NumConst=22, SV=7, CEps=45.6672, QPEps=5.6564)
Iter 23: .........*(NumConst=23, SV=7, CEps=31.1332, QPEps=0.5137)
Iter 24: .........*(NumConst=24, SV=6, CEps=49.6393, QPEps=14.7180)
Iter 25: .........*(NumConst=25, SV=8, CEps=24.1824, QPEps=11.3559)
Iter 26: .........*(NumConst=26, SV=7, CEps=37.8137, QPEps=4.5343)
Iter 27: .........*(NumConst=27, SV=8, CEps=23.4577, QPEps=6.7848)
Iter 28: .........*(NumConst=28, SV=10, CEps=39.5942, QPEps=10.1266)
Iter 29: .........*(NumConst=29, SV=8, CEps=20.7126, QPEps=7.7604)
Iter 30: .........*(NumConst=30, SV=6, CEps=23.5484, QPEps=9.5877)
Iter 31: .........*(NumConst=31, SV=6, CEps=15.9630, QPEps=5.4311)
Iter 32: .........*(NumConst=32, SV=6, CEps=8.2954, QPEps=0.3920)
Iter 33: .........*(NumConst=33, SV=7, CEps=8.0525, QPEps=0.4858)
Iter 34: .........*(NumConst=34, SV=7, CEps=20.2251, QPEps=1.2945)
Iter 35: .........*(NumConst=35, SV=7, CEps=8.7657, QPEps=0.7246)
Iter 36: .........*(NumConst=36, SV=7, CEps=11.6958, QPEps=3.2533)
Iter 37: .........*(NumConst=37, SV=7, CEps=4.4643, QPEps=0.7889)
Iter 38: .........*(NumConst=38, SV=7, CEps=5.5543, QPEps=0.0044)
Iter 39: .........*(NumConst=39, SV=7, CEps=7.6152, QPEps=0.1491)
Iter 40: .........*(NumConst=40, SV=7, CEps=3.4592, QPEps=0.1943)
Iter 41: .........*(NumConst=41, SV=7, CEps=5.5630, QPEps=0.9101)
Iter 42: .........*(NumConst=42, SV=7, CEps=4.3867, QPEps=1.2446)
Iter 43: .........*(NumConst=43, SV=8, CEps=2.4818, QPEps=0.0203)
Iter 44: .........*(NumConst=44, SV=6, CEps=3.9083, QPEps=0.9312)
Iter 45: .........*(NumConst=45, SV=6, CEps=5.6843, QPEps=1.2143)
Iter 46: .........*(NumConst=46, SV=7, CEps=2.9102, QPEps=0.9416)
Iter 47: .........*(NumConst=47, SV=8, CEps=2.3038, QPEps=1.0112)
Iter 48: .........*(NumConst=48, SV=8, CEps=1.9184, QPEps=0.5120)
Iter 49: .........*(NumConst=49, SV=7, CEps=3.0656, QPEps=0.3273)
Iter 50: .........*(NumConst=50, SV=7, CEps=1.8578, QPEps=0.6479)
Iter 51: .........*(NumConst=51, SV=8, CEps=1.1725, QPEps=0.5227)
Iter 52: .........*(NumConst=52, SV=7, CEps=1.2649, QPEps=0.0193)
Iter 53: .........(NumConst=52, SV=7, CEps=0.6898, QPEps=0.0193)
Final epsilon on KKT-Conditions: 0.68980
Upper bound on duality gap: 0.00069
Dual objective value: dval=0.54068
Primal objective value: pval=0.54137
Total number of constraints in final working set: 52 (of 52)
Number of iterations: 53
Number of calls to 'find_most_violated_constraint': 9540
Number of SV: 7 
Norm of weight vector: |w|=0.21249
Value of slack variable (on working set): xi=518.11423
Value of slack variable (global): xi=518.79180
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=13408.60340
Runtime in cpu-seconds: 0.52
Compacting linear model...done
Writing learned model...done