Reading training examples...done
Training set properties: 25 features, 180 rankings, 15549 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.945178
Iter 1: .........*(NumConst=1, SV=1, CEps=945.1778, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=744.7743, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=3, CEps=252.8992, QPEps=0.0000)
Iter 4: .........*(NumConst=4, SV=3, CEps=81.1592, QPEps=27.3820)
Iter 5: .........*(NumConst=5, SV=3, CEps=77.3977, QPEps=25.6240)
Iter 6: .........*(NumConst=6, SV=3, CEps=17.7824, QPEps=6.5743)
Iter 7: .........*(NumConst=7, SV=3, CEps=12.8674, QPEps=5.6841)
Iter 8: .........*(NumConst=8, SV=3, CEps=2.3187, QPEps=1.0142)
Iter 9: .........*(NumConst=9, SV=2, CEps=1.9020, QPEps=0.3915)
Iter 10: .........(NumConst=9, SV=2, CEps=0.4966, QPEps=0.3915)
Final epsilon on KKT-Conditions: 0.49662
Upper bound on duality gap: 0.00003
Dual objective value: dval=0.06654
Primal objective value: pval=0.06657
Total number of constraints in final working set: 9 (of 9)
Number of iterations: 10
Number of calls to 'find_most_violated_constraint': 1800
Number of SV: 2 
Norm of weight vector: |w|=0.08103
Value of slack variable (on working set): xi=632.76775
Value of slack variable (global): xi=632.87284
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=8414.51119
Runtime in cpu-seconds: 0.04
Compacting linear model...done
Writing learned model...done