Reading training examples...done
Training set properties: 23 features, 180 rankings, 15501 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.006856
Iter 1: .........*(NumConst=1, SV=1, CEps=1006.8556, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1040.6642, QPEps=0.0009)
Iter 3: .........*(NumConst=3, SV=3, CEps=2810.7647, QPEps=0.0030)
Iter 4: .........*(NumConst=4, SV=4, CEps=6839.5786, QPEps=0.0036)
Iter 5: .........*(NumConst=5, SV=5, CEps=1127.9562, QPEps=0.0026)
Iter 6: .........*(NumConst=6, SV=5, CEps=2380.7671, QPEps=0.0074)
Iter 7: .........*(NumConst=7, SV=6, CEps=1745.5726, QPEps=48.3734)
Iter 8: .........*(NumConst=8, SV=6, CEps=1315.0642, QPEps=34.8225)
Iter 9: .........*(NumConst=9, SV=6, CEps=4626.2084, QPEps=47.4967)
Iter 10: .........*(NumConst=10, SV=8, CEps=422.8215, QPEps=48.0229)
Iter 11: .........*(NumConst=11, SV=9, CEps=296.1921, QPEps=47.9247)
Iter 12: .........*(NumConst=12, SV=7, CEps=181.4339, QPEps=32.5529)
Iter 13: .........*(NumConst=13, SV=7, CEps=160.6789, QPEps=12.9590)
Iter 14: .........*(NumConst=14, SV=7, CEps=363.3384, QPEps=43.8112)
Iter 15: .........*(NumConst=15, SV=6, CEps=130.7340, QPEps=0.0000)
Iter 16: .........*(NumConst=16, SV=6, CEps=105.2066, QPEps=46.0469)
Iter 17: .........*(NumConst=17, SV=6, CEps=56.4990, QPEps=0.0000)
Iter 18: .........*(NumConst=18, SV=6, CEps=68.2163, QPEps=0.0000)
Iter 19: .........*(NumConst=19, SV=6, CEps=53.2581, QPEps=0.0000)
Iter 20: .........*(NumConst=20, SV=6, CEps=53.2118, QPEps=13.3165)
Iter 21: .........*(NumConst=21, SV=6, CEps=29.5524, QPEps=0.0000)
Iter 22: .........*(NumConst=22, SV=7, CEps=112.4874, QPEps=14.4050)
Iter 23: .........*(NumConst=23, SV=7, CEps=60.3793, QPEps=3.2636)
Iter 24: .........*(NumConst=24, SV=6, CEps=102.5108, QPEps=0.0000)
Iter 25: .........*(NumConst=25, SV=6, CEps=33.3096, QPEps=0.0000)
Iter 26: .........*(NumConst=26, SV=5, CEps=39.8203, QPEps=5.2269)
Iter 27: .........*(NumConst=27, SV=6, CEps=20.1550, QPEps=0.9550)
Iter 28: .........*(NumConst=28, SV=8, CEps=24.4788, QPEps=7.8094)
Iter 29: .........*(NumConst=29, SV=8, CEps=22.3288, QPEps=7.8377)
Iter 30: .........*(NumConst=30, SV=6, CEps=13.5692, QPEps=0.0000)
Iter 31: .........*(NumConst=31, SV=7, CEps=15.9759, QPEps=5.2587)
Iter 32: .........*(NumConst=32, SV=7, CEps=29.3201, QPEps=5.3307)
Iter 33: .........*(NumConst=33, SV=7, CEps=11.2832, QPEps=5.1352)
Iter 34: .........*(NumConst=34, SV=7, CEps=13.6030, QPEps=5.2693)
Iter 35: .........*(NumConst=35, SV=6, CEps=5.8385, QPEps=0.8213)
Iter 36: .........*(NumConst=36, SV=6, CEps=9.0515, QPEps=0.6375)
Iter 37: .........*(NumConst=37, SV=8, CEps=5.9123, QPEps=2.8558)
Iter 38: .........*(NumConst=38, SV=7, CEps=6.9208, QPEps=0.6166)
Iter 39: .........*(NumConst=39, SV=7, CEps=3.6570, QPEps=1.4540)
Iter 40: .........*(NumConst=40, SV=7, CEps=6.3699, QPEps=0.0232)
Iter 41: .........*(NumConst=41, SV=7, CEps=4.9833, QPEps=1.5098)
Iter 42: .........*(NumConst=42, SV=7, CEps=6.5931, QPEps=1.2072)
Iter 43: .........*(NumConst=43, SV=9, CEps=2.8008, QPEps=1.3349)
Iter 44: .........*(NumConst=44, SV=9, CEps=2.2457, QPEps=0.8304)
Iter 45: .........*(NumConst=45, SV=9, CEps=3.6320, QPEps=0.6874)
Iter 46: .........*(NumConst=46, SV=8, CEps=4.4464, QPEps=0.8738)
Iter 47: .........*(NumConst=47, SV=9, CEps=2.1972, QPEps=0.9518)
Iter 48: .........*(NumConst=48, SV=8, CEps=2.2517, QPEps=0.9622)
Iter 49: .........*(NumConst=49, SV=6, CEps=2.7040, QPEps=0.4264)
Iter 50: .........*(NumConst=50, SV=7, CEps=2.2653, QPEps=0.0986)
Iter 51: .........(NumConst=50, SV=7, CEps=0.9789, QPEps=0.0986)
Final epsilon on KKT-Conditions: 0.97888
Upper bound on duality gap: 0.10066
Dual objective value: dval=64.77917
Primal objective value: pval=64.87983
Total number of constraints in final working set: 50 (of 50)
Number of iterations: 51
Number of calls to 'find_most_violated_constraint': 9180
Number of SV: 7 
Norm of weight vector: |w|=1.37143
Value of slack variable (on working set): xi=638.41524
Value of slack variable (global): xi=639.39410
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=5695.58036
Runtime in cpu-seconds: 1.26
Compacting linear model...done
Writing learned model...done