Reading training examples...done
Training set properties: 25 features, 180 rankings, 15544 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.014872
Iter 1: .........*(NumConst=1, SV=1, CEps=1014.8722, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=798.2690, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=2, CEps=1409.3497, QPEps=0.0011)
Iter 4: .........*(NumConst=4, SV=3, CEps=1654.7736, QPEps=0.0008)
Iter 5: .........*(NumConst=5, SV=4, CEps=2549.4061, QPEps=0.0064)
Iter 6: .........*(NumConst=6, SV=5, CEps=2484.4085, QPEps=0.0098)
Iter 7: .........*(NumConst=7, SV=5, CEps=440.1784, QPEps=3.4016)
Iter 8: .........*(NumConst=8, SV=6, CEps=498.0476, QPEps=1.0682)
Iter 9: .........*(NumConst=9, SV=6, CEps=351.7398, QPEps=0.4710)
Iter 10: .........*(NumConst=10, SV=6, CEps=199.1846, QPEps=42.6745)
Iter 11: .........*(NumConst=11, SV=7, CEps=196.0611, QPEps=14.9467)
Iter 12: .........*(NumConst=12, SV=6, CEps=194.7810, QPEps=5.5277)
Iter 13: .........*(NumConst=13, SV=7, CEps=221.3076, QPEps=12.6708)
Iter 14: .........*(NumConst=14, SV=7, CEps=190.3976, QPEps=49.7814)
Iter 15: .........*(NumConst=15, SV=9, CEps=120.9534, QPEps=0.5175)
Iter 16: .........*(NumConst=16, SV=8, CEps=106.7894, QPEps=13.2441)
Iter 17: .........*(NumConst=17, SV=7, CEps=90.2686, QPEps=16.4472)
Iter 18: .........*(NumConst=18, SV=7, CEps=82.5198, QPEps=0.1793)
Iter 19: .........*(NumConst=19, SV=7, CEps=52.6956, QPEps=1.0012)
Iter 20: .........*(NumConst=20, SV=7, CEps=84.7140, QPEps=23.8385)
Iter 21: .........*(NumConst=21, SV=7, CEps=56.2460, QPEps=13.3465)
Iter 22: .........*(NumConst=22, SV=6, CEps=47.6824, QPEps=23.4657)
Iter 23: .........*(NumConst=23, SV=7, CEps=49.5251, QPEps=0.0232)
Iter 24: .........*(NumConst=24, SV=7, CEps=42.9472, QPEps=21.4337)
Iter 25: .........*(NumConst=25, SV=7, CEps=36.5370, QPEps=0.0506)
Iter 26: .........*(NumConst=26, SV=6, CEps=39.6675, QPEps=0.5965)
Iter 27: .........*(NumConst=27, SV=7, CEps=32.9544, QPEps=15.9716)
Iter 28: .........*(NumConst=28, SV=7, CEps=20.3566, QPEps=4.4566)
Iter 29: .........*(NumConst=29, SV=7, CEps=38.5870, QPEps=10.0439)
Iter 30: .........*(NumConst=30, SV=7, CEps=35.8895, QPEps=9.3926)
Iter 31: .........*(NumConst=31, SV=7, CEps=21.9759, QPEps=1.0543)
Iter 32: .........*(NumConst=32, SV=8, CEps=24.6467, QPEps=10.1628)
Iter 33: .........*(NumConst=33, SV=7, CEps=10.8033, QPEps=5.1495)
Iter 34: .........*(NumConst=34, SV=7, CEps=17.1283, QPEps=5.2712)
Iter 35: .........*(NumConst=35, SV=6, CEps=7.1684, QPEps=3.5563)
Iter 36: .........*(NumConst=36, SV=7, CEps=7.4553, QPEps=0.1416)
Iter 37: .........*(NumConst=37, SV=8, CEps=14.3486, QPEps=2.9140)
Iter 38: .........*(NumConst=38, SV=7, CEps=17.2036, QPEps=1.5321)
Iter 39: .........*(NumConst=39, SV=8, CEps=7.2879, QPEps=3.4059)
Iter 40: .........*(NumConst=40, SV=8, CEps=8.5399, QPEps=2.9574)
Iter 41: .........*(NumConst=41, SV=9, CEps=6.6993, QPEps=3.2773)
Iter 42: .........*(NumConst=42, SV=9, CEps=6.1061, QPEps=2.7896)
Iter 43: .........*(NumConst=43, SV=8, CEps=4.1068, QPEps=0.0000)
Iter 44: .........*(NumConst=44, SV=9, CEps=3.6899, QPEps=1.6995)
Iter 45: .........*(NumConst=45, SV=7, CEps=3.2745, QPEps=0.1288)
Iter 46: .........*(NumConst=46, SV=8, CEps=2.0259, QPEps=0.0001)
Iter 47: .........*(NumConst=47, SV=7, CEps=4.0782, QPEps=0.0000)
Iter 48: .........*(NumConst=48, SV=8, CEps=1.7780, QPEps=0.0000)
Iter 49: .........*(NumConst=49, SV=9, CEps=3.6618, QPEps=0.8428)
Iter 50: .........*(NumConst=50, SV=8, CEps=2.5112, QPEps=0.7518)
Iter 51: .........*(NumConst=51, SV=8, CEps=1.3627, QPEps=0.0000)
Iter 52: .........*(NumConst=52, SV=7, CEps=2.1760, QPEps=0.5332)
Iter 53: .........(NumConst=52, SV=7, CEps=0.8906, QPEps=0.5332)
Final epsilon on KKT-Conditions: 0.89059
Upper bound on duality gap: 0.04304
Dual objective value: dval=31.50882
Primal objective value: pval=31.55187
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|=0.80602
Value of slack variable (on working set): xi=623.99151
Value of slack variable (global): xi=624.54062
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=9160.90576
Runtime in cpu-seconds: 0.60
Compacting linear model...done
Writing learned model...done