Reading training examples...done
Training set properties: 104 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=357.0111, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=3, CEps=201.6225, QPEps=0.0000)
Iter 4: .........*(NumConst=4, SV=4, CEps=144.2380, QPEps=0.0000)
Iter 5: .........*(NumConst=5, SV=2, CEps=53.1312, QPEps=8.2495)
Iter 6: .........*(NumConst=6, SV=3, CEps=41.5267, QPEps=1.1633)
Iter 7: .........*(NumConst=7, SV=4, CEps=34.2497, QPEps=14.7155)
Iter 8: .........*(NumConst=8, SV=4, CEps=19.8582, QPEps=1.2122)
Iter 9: .........*(NumConst=9, SV=5, CEps=11.0590, QPEps=4.3468)
Iter 10: .........*(NumConst=10, SV=5, CEps=7.1548, QPEps=3.1975)
Iter 11: .........*(NumConst=11, SV=6, CEps=4.5075, QPEps=2.0165)
Iter 12: .........*(NumConst=12, SV=5, CEps=4.1711, QPEps=1.5825)
Iter 13: .........*(NumConst=13, SV=6, CEps=1.9979, QPEps=0.9458)
Iter 14: .........*(NumConst=14, SV=6, CEps=1.2079, QPEps=0.4950)
Iter 15: .........*(NumConst=15, SV=5, CEps=0.6170, QPEps=0.3006)
Iter 16: .........(NumConst=15, SV=5, CEps=0.4621, QPEps=0.3006)
Final epsilon on KKT-Conditions: 0.46208
Upper bound on duality gap: 0.00003
Dual objective value: dval=0.03321
Primal objective value: pval=0.03324
Total number of constraints in final working set: 15 (of 15)
Number of iterations: 16
Number of calls to 'find_most_violated_constraint': 1440
Number of SV: 5 
Norm of weight vector: |w|=0.07608
Value of slack variable (on working set): xi=303.32860
Value of slack variable (global): xi=303.49008
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=5365.65492
Runtime in cpu-seconds: 0.10
Compacting linear model...done
Writing learned model...done