Reading training examples...done
Training set properties: 104 features, 90 rankings, 8146 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.497278
Iter 1: .........*(NumConst=1, SV=1, CEps=497.2778, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=313.5626, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=3, CEps=219.2693, QPEps=0.0000)
Iter 4: .........*(NumConst=4, SV=4, CEps=131.0683, QPEps=16.2960)
Iter 5: .........*(NumConst=5, SV=3, CEps=48.6510, QPEps=0.0972)
Iter 6: .........*(NumConst=6, SV=3, CEps=31.3825, QPEps=8.0026)
Iter 7: .........*(NumConst=7, SV=3, CEps=15.1965, QPEps=4.9598)
Iter 8: .........*(NumConst=8, SV=4, CEps=14.5704, QPEps=6.3304)
Iter 9: .........*(NumConst=9, SV=5, CEps=8.6077, QPEps=3.3816)
Iter 10: .........*(NumConst=10, SV=5, CEps=6.7323, QPEps=2.5580)
Iter 11: .........*(NumConst=11, SV=5, CEps=3.5483, QPEps=1.5856)
Iter 12: .........*(NumConst=12, SV=5, CEps=2.0568, QPEps=0.6212)
Iter 13: .........*(NumConst=13, SV=5, CEps=1.3943, QPEps=0.6852)
Iter 14: .........(NumConst=13, SV=5, CEps=0.4367, QPEps=0.6852)
Final epsilon on KKT-Conditions: 0.68519
Upper bound on duality gap: 0.00006
Dual objective value: dval=0.02983
Primal objective value: pval=0.02989
Total number of constraints in final working set: 13 (of 13)
Number of iterations: 14
Number of calls to 'find_most_violated_constraint': 1260
Number of SV: 5 
Norm of weight vector: |w|=0.07334
Value of slack variable (on working set): xi=271.75492
Value of slack variable (global): xi=272.01137
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=5335.29094
Runtime in cpu-seconds: 0.08
Compacting linear model...done
Writing learned model...done