Reading training examples...done
Training set properties: 49 features, 180 rankings, 15564 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.036789
Iter 1: .........*(NumConst=1, SV=1, CEps=1036.7889, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1657.3037, QPEps=0.0002)
Iter 3: .........*(NumConst=3, SV=3, CEps=1659.3202, QPEps=0.0004)
Iter 4: .........*(NumConst=4, SV=4, CEps=1608.6174, QPEps=0.0019)
Iter 5: .........*(NumConst=5, SV=4, CEps=1222.5918, QPEps=0.0004)
Iter 6: .........*(NumConst=6, SV=5, CEps=764.0619, QPEps=0.0068)
Iter 7: .........*(NumConst=7, SV=6, CEps=433.5130, QPEps=0.0039)
Iter 8: .........*(NumConst=8, SV=8, CEps=417.2482, QPEps=0.0047)
Iter 9: .........*(NumConst=9, SV=6, CEps=282.9789, QPEps=32.3037)
Iter 10: .........*(NumConst=10, SV=8, CEps=199.9836, QPEps=45.5185)
Iter 11: .........*(NumConst=11, SV=6, CEps=160.5657, QPEps=2.9550)
Iter 12: .........*(NumConst=12, SV=6, CEps=291.3266, QPEps=10.6119)
Iter 13: .........*(NumConst=13, SV=6, CEps=126.1775, QPEps=13.1581)
Iter 14: .........*(NumConst=14, SV=7, CEps=111.6037, QPEps=28.2570)
Iter 15: .........*(NumConst=15, SV=6, CEps=118.1687, QPEps=14.0014)
Iter 16: .........*(NumConst=16, SV=6, CEps=69.9565, QPEps=0.3794)
Iter 17: .........*(NumConst=17, SV=7, CEps=80.2282, QPEps=0.0170)
Iter 18: .........*(NumConst=18, SV=5, CEps=51.5508, QPEps=0.4238)
Iter 19: .........*(NumConst=19, SV=7, CEps=52.5374, QPEps=24.5147)
Iter 20: .........*(NumConst=20, SV=7, CEps=64.6261, QPEps=3.6430)
Iter 21: .........*(NumConst=21, SV=8, CEps=35.2090, QPEps=0.0019)
Iter 22: .........*(NumConst=22, SV=7, CEps=40.4461, QPEps=16.4033)
Iter 23: .........*(NumConst=23, SV=8, CEps=36.2018, QPEps=0.0001)
Iter 24: .........*(NumConst=24, SV=7, CEps=30.4383, QPEps=2.1175)
Iter 25: .........*(NumConst=25, SV=8, CEps=17.1194, QPEps=0.0002)
Iter 26: .........*(NumConst=26, SV=7, CEps=23.9636, QPEps=8.2583)
Iter 27: .........*(NumConst=27, SV=8, CEps=24.3611, QPEps=7.6750)
Iter 28: .........*(NumConst=28, SV=7, CEps=13.7328, QPEps=0.5110)
Iter 29: .........*(NumConst=29, SV=5, CEps=17.1180, QPEps=2.4514)
Iter 30: .........*(NumConst=30, SV=7, CEps=9.2203, QPEps=0.0027)
Iter 31: .........*(NumConst=31, SV=8, CEps=10.6581, QPEps=0.0118)
Iter 32: .........*(NumConst=32, SV=6, CEps=8.7316, QPEps=0.9410)
Iter 33: .........*(NumConst=33, SV=6, CEps=7.9791, QPEps=0.1558)
Iter 34: .........*(NumConst=34, SV=7, CEps=5.0965, QPEps=0.1903)
Iter 35: .........*(NumConst=35, SV=8, CEps=7.2377, QPEps=0.1830)
Iter 36: .........*(NumConst=36, SV=8, CEps=11.2713, QPEps=0.0001)
Iter 37: .........*(NumConst=37, SV=8, CEps=5.6508, QPEps=0.0001)
Iter 38: .........*(NumConst=38, SV=7, CEps=5.2992, QPEps=2.3712)
Iter 39: .........*(NumConst=39, SV=6, CEps=3.8642, QPEps=0.1798)
Iter 40: .........*(NumConst=40, SV=8, CEps=2.8763, QPEps=1.3667)
Iter 41: .........*(NumConst=41, SV=7, CEps=5.0908, QPEps=0.2791)
Iter 42: .........*(NumConst=42, SV=6, CEps=3.0825, QPEps=0.8735)
Iter 43: .........*(NumConst=43, SV=7, CEps=3.9477, QPEps=0.4245)
Iter 44: .........*(NumConst=44, SV=7, CEps=2.3492, QPEps=0.0010)
Iter 45: .........*(NumConst=45, SV=6, CEps=2.0852, QPEps=0.4400)
Iter 46: .........*(NumConst=46, SV=7, CEps=1.8953, QPEps=0.0000)
Iter 47: .........*(NumConst=47, SV=7, CEps=1.3084, QPEps=0.4426)
Iter 48: .........*(NumConst=48, SV=6, CEps=1.6913, QPEps=0.0791)
Iter 49: .........*(NumConst=49, SV=7, CEps=1.1222, QPEps=0.0169)
Iter 50: .........*(NumConst=50, SV=7, CEps=1.4869, QPEps=0.2523)
Iter 51: .........*(NumConst=51, SV=7, CEps=1.8943, QPEps=0.0503)
Iter 52: .........(NumConst=51, SV=7, CEps=0.8547, QPEps=0.0503)
Final epsilon on KKT-Conditions: 0.85475
Upper bound on duality gap: 0.00855
Dual objective value: dval=6.54843
Primal objective value: pval=6.55698
Total number of constraints in final working set: 51 (of 51)
Number of iterations: 52
Number of calls to 'find_most_violated_constraint': 9360
Number of SV: 7 
Norm of weight vector: |w|=0.91726
Value of slack variable (on working set): xi=612.80244
Value of slack variable (global): xi=613.62962
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=7422.07166
Runtime in cpu-seconds: 0.33
Compacting linear model...done
Writing learned model...done