Reading training examples...done
Training set properties: 23 features, 90 rankings, 8191 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.534089
Iter 1: .........*(NumConst=1, SV=1, CEps=534.0889, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=502.2465, QPEps=0.0001)
Iter 3: .........*(NumConst=3, SV=2, CEps=856.7109, QPEps=0.0010)
Iter 4: .........*(NumConst=4, SV=3, CEps=2689.1453, QPEps=0.0012)
Iter 5: .........*(NumConst=5, SV=4, CEps=1312.9218, QPEps=0.0038)
Iter 6: .........*(NumConst=6, SV=5, CEps=1192.8801, QPEps=0.0022)
Iter 7: .........*(NumConst=7, SV=5, CEps=642.1140, QPEps=49.5706)
Iter 8: .........*(NumConst=8, SV=5, CEps=646.5364, QPEps=0.0143)
Iter 9: .........*(NumConst=9, SV=6, CEps=1933.6806, QPEps=0.0024)
Iter 10: .........*(NumConst=10, SV=6, CEps=1074.4690, QPEps=0.0001)
Iter 11: .........*(NumConst=11, SV=6, CEps=367.1289, QPEps=0.0001)
Iter 12: .........*(NumConst=12, SV=9, CEps=324.5723, QPEps=49.2468)
Iter 13: .........*(NumConst=13, SV=9, CEps=143.0061, QPEps=49.2967)
Iter 14: .........*(NumConst=14, SV=8, CEps=245.6519, QPEps=38.0829)
Iter 15: .........*(NumConst=15, SV=7, CEps=145.4458, QPEps=44.5474)
Iter 16: .........*(NumConst=16, SV=9, CEps=87.1551, QPEps=42.7595)
Iter 17: .........*(NumConst=17, SV=9, CEps=124.3996, QPEps=19.3925)
Iter 18: .........*(NumConst=18, SV=7, CEps=147.8970, QPEps=30.9051)
Iter 19: .........*(NumConst=19, SV=8, CEps=81.7827, QPEps=37.7747)
Iter 20: .........*(NumConst=20, SV=9, CEps=55.4751, QPEps=24.8311)
Iter 21: .........*(NumConst=21, SV=8, CEps=38.6220, QPEps=16.9951)
Iter 22: .........*(NumConst=22, SV=7, CEps=77.9730, QPEps=16.9144)
Iter 23: .........*(NumConst=23, SV=8, CEps=52.6418, QPEps=18.8875)
Iter 24: .........*(NumConst=24, SV=6, CEps=35.2271, QPEps=2.4677)
Iter 25: .........*(NumConst=25, SV=7, CEps=19.1238, QPEps=1.3503)
Iter 26: .........*(NumConst=26, SV=7, CEps=20.7356, QPEps=5.7474)
Iter 27: .........*(NumConst=27, SV=6, CEps=15.9675, QPEps=2.7092)
Iter 28: .........*(NumConst=28, SV=9, CEps=9.9918, QPEps=4.9583)
Iter 29: .........*(NumConst=29, SV=7, CEps=27.0455, QPEps=0.5204)
Iter 30: .........*(NumConst=30, SV=6, CEps=10.1678, QPEps=2.2002)
Iter 31: .........*(NumConst=31, SV=7, CEps=22.1742, QPEps=2.3120)
Iter 32: .........*(NumConst=32, SV=6, CEps=10.1184, QPEps=0.0000)
Iter 33: .........*(NumConst=33, SV=7, CEps=7.1155, QPEps=2.8040)
Iter 34: .........*(NumConst=34, SV=7, CEps=5.3206, QPEps=1.0665)
Iter 35: .........*(NumConst=35, SV=7, CEps=3.9067, QPEps=1.0057)
Iter 36: .........*(NumConst=36, SV=7, CEps=7.6269, QPEps=1.8227)
Iter 37: .........*(NumConst=37, SV=7, CEps=4.1821, QPEps=1.6407)
Iter 38: .........*(NumConst=38, SV=9, CEps=2.9683, QPEps=1.3171)
Iter 39: .........*(NumConst=39, SV=8, CEps=4.0614, QPEps=1.2666)
Iter 40: .........*(NumConst=40, SV=8, CEps=3.9527, QPEps=1.3373)
Iter 41: .........*(NumConst=41, SV=6, CEps=2.3399, QPEps=0.2699)
Iter 42: .........*(NumConst=42, SV=7, CEps=3.6840, QPEps=0.4347)
Iter 43: .........*(NumConst=43, SV=8, CEps=1.2218, QPEps=0.5269)
Iter 44: .........*(NumConst=44, SV=7, CEps=7.1289, QPEps=0.6047)
Iter 45: .........*(NumConst=45, SV=7, CEps=2.1514, QPEps=0.5776)
Iter 46: .........*(NumConst=46, SV=7, CEps=1.2799, QPEps=0.5454)
Iter 47: .........*(NumConst=47, SV=6, CEps=1.0081, QPEps=0.0000)
Iter 48: .........*(NumConst=48, SV=6, CEps=0.9144, QPEps=0.0856)
Iter 49: .........*(NumConst=49, SV=7, CEps=0.7386, QPEps=0.3001)
Iter 50: .........*(NumConst=50, SV=7, CEps=2.6330, QPEps=0.0000)
Iter 51: .........*(NumConst=51, SV=6, CEps=0.9215, QPEps=0.2084)
Iter 52: .........*(NumConst=52, SV=7, CEps=0.7365, QPEps=0.0423)
Iter 53: .........(NumConst=52, SV=7, CEps=0.4607, QPEps=0.0423)
Final epsilon on KKT-Conditions: 0.46068
Upper bound on duality gap: 0.45918
Dual objective value: dval=295.17457
Primal objective value: pval=295.63375
Total number of constraints in final working set: 52 (of 52)
Number of iterations: 53
Number of calls to 'find_most_violated_constraint': 4770
Number of SV: 7 
Norm of weight vector: |w|=2.21549
Value of slack variable (on working set): xi=292.76121
Value of slack variable (global): xi=293.17955
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=3499.61532
Runtime in cpu-seconds: 0.69
Compacting linear model...done
Writing learned model...done