Reading training examples...done
Training set properties: 25 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=402.9351, QPEps=0.0001)
Iter 3: .........*(NumConst=3, SV=3, CEps=1447.9112, QPEps=0.0001)
Iter 4: .........*(NumConst=4, SV=3, CEps=415.5891, QPEps=0.0729)
Iter 5: .........*(NumConst=5, SV=4, CEps=215.2714, QPEps=0.0025)
Iter 6: .........*(NumConst=6, SV=5, CEps=102.6645, QPEps=47.4144)
Iter 7: .........*(NumConst=7, SV=4, CEps=80.6486, QPEps=4.1378)
Iter 8: .........*(NumConst=8, SV=4, CEps=47.1109, QPEps=23.3194)
Iter 9: .........*(NumConst=9, SV=5, CEps=71.0592, QPEps=23.2781)
Iter 10: .........*(NumConst=10, SV=6, CEps=45.7231, QPEps=22.4259)
Iter 11: .........*(NumConst=11, SV=6, CEps=30.3384, QPEps=13.6045)
Iter 12: .........*(NumConst=12, SV=6, CEps=25.3919, QPEps=8.3562)
Iter 13: .........*(NumConst=13, SV=7, CEps=16.6133, QPEps=8.2929)
Iter 14: .........*(NumConst=14, SV=8, CEps=10.7429, QPEps=5.2659)
Iter 15: .........*(NumConst=15, SV=8, CEps=9.9064, QPEps=4.2184)
Iter 16: .........*(NumConst=16, SV=7, CEps=5.4634, QPEps=1.3627)
Iter 17: .........*(NumConst=17, SV=7, CEps=4.4904, QPEps=1.8127)
Iter 18: .........*(NumConst=18, SV=6, CEps=3.5731, QPEps=1.6043)
Iter 19: .........*(NumConst=19, SV=7, CEps=3.4844, QPEps=1.2043)
Iter 20: .........*(NumConst=20, SV=8, CEps=1.6962, QPEps=0.8220)
Iter 21: .........*(NumConst=21, SV=8, CEps=1.3412, QPEps=0.6421)
Iter 22: .........*(NumConst=22, SV=6, CEps=1.0328, QPEps=0.5009)
Iter 23: .........*(NumConst=23, SV=7, CEps=0.7877, QPEps=0.3766)
Iter 24: .........(NumConst=23, SV=7, CEps=0.5191, QPEps=0.3766)
Final epsilon on KKT-Conditions: 0.51908
Upper bound on duality gap: 0.00547
Dual objective value: dval=3.41571
Primal objective value: pval=3.42118
Total number of constraints in final working set: 23 (of 23)
Number of iterations: 24
Number of calls to 'find_most_violated_constraint': 2160
Number of SV: 7 
Norm of weight vector: |w|=0.44962
Value of slack variable (on working set): xi=331.78718
Value of slack variable (global): xi=332.00995
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=2639.42574
Runtime in cpu-seconds: 0.11
Compacting linear model...done
Writing learned model...done