Reading training examples...done
Training set properties: 19 features, 180 rankings, 15564 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.036789
Iter 1: .........*(NumConst=1, SV=1, CEps=1036.7889, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1046.3051, QPEps=0.0006)
Iter 3: .........*(NumConst=3, SV=3, CEps=2345.2916, QPEps=0.0033)
Iter 4: .........*(NumConst=4, SV=4, CEps=2099.1922, QPEps=0.0026)
Iter 5: .........*(NumConst=5, SV=4, CEps=961.3902, QPEps=0.0006)
Iter 6: .........*(NumConst=6, SV=5, CEps=684.2149, QPEps=0.0024)
Iter 7: .........*(NumConst=7, SV=6, CEps=908.2132, QPEps=0.0026)
Iter 8: .........*(NumConst=8, SV=6, CEps=241.7375, QPEps=13.2409)
Iter 9: .........*(NumConst=9, SV=6, CEps=225.4071, QPEps=46.0072)
Iter 10: .........*(NumConst=10, SV=7, CEps=267.9303, QPEps=29.7075)
Iter 11: .........*(NumConst=11, SV=6, CEps=153.9372, QPEps=47.1387)
Iter 12: .........*(NumConst=12, SV=7, CEps=131.7855, QPEps=23.4980)
Iter 13: .........*(NumConst=13, SV=6, CEps=208.8149, QPEps=2.6402)
Iter 14: .........*(NumConst=14, SV=7, CEps=148.2313, QPEps=42.7958)
Iter 15: .........*(NumConst=15, SV=8, CEps=105.4641, QPEps=46.0044)
Iter 16: .........*(NumConst=16, SV=6, CEps=126.9747, QPEps=31.5690)
Iter 17: .........*(NumConst=17, SV=5, CEps=73.9338, QPEps=32.0488)
Iter 18: .........*(NumConst=18, SV=7, CEps=29.8228, QPEps=0.4476)
Iter 19: .........*(NumConst=19, SV=6, CEps=64.5910, QPEps=2.3411)
Iter 20: .........*(NumConst=20, SV=8, CEps=27.0025, QPEps=3.9750)
Iter 21: .........*(NumConst=21, SV=8, CEps=51.7623, QPEps=0.0000)
Iter 22: .........*(NumConst=22, SV=8, CEps=36.8588, QPEps=8.4739)
Iter 23: .........*(NumConst=23, SV=8, CEps=64.0193, QPEps=0.0050)
Iter 24: .........*(NumConst=24, SV=8, CEps=34.8323, QPEps=1.0927)
Iter 25: .........*(NumConst=25, SV=8, CEps=23.2675, QPEps=0.0006)
Iter 26: .........*(NumConst=26, SV=8, CEps=16.3237, QPEps=3.5838)
Iter 27: .........*(NumConst=27, SV=7, CEps=30.8547, QPEps=4.3847)
Iter 28: .........*(NumConst=28, SV=6, CEps=14.2020, QPEps=0.3733)
Iter 29: .........*(NumConst=29, SV=7, CEps=16.9209, QPEps=6.5421)
Iter 30: .........*(NumConst=30, SV=7, CEps=14.5889, QPEps=0.0003)
Iter 31: .........*(NumConst=31, SV=8, CEps=12.4173, QPEps=0.0013)
Iter 32: .........*(NumConst=32, SV=6, CEps=9.3801, QPEps=0.5439)
Iter 33: .........*(NumConst=33, SV=7, CEps=6.9634, QPEps=1.1097)
Iter 34: .........*(NumConst=34, SV=9, CEps=9.6122, QPEps=3.1802)
Iter 35: .........*(NumConst=35, SV=7, CEps=14.9375, QPEps=0.2077)
Iter 36: .........*(NumConst=36, SV=8, CEps=8.1223, QPEps=0.0000)
Iter 37: .........*(NumConst=37, SV=7, CEps=7.4330, QPEps=0.3104)
Iter 38: .........*(NumConst=38, SV=7, CEps=5.9421, QPEps=0.2414)
Iter 39: .........*(NumConst=39, SV=8, CEps=3.1566, QPEps=1.5714)
Iter 40: .........*(NumConst=40, SV=8, CEps=6.9512, QPEps=1.5681)
Iter 41: .........*(NumConst=41, SV=7, CEps=3.4979, QPEps=0.0490)
Iter 42: .........*(NumConst=42, SV=7, CEps=4.9926, QPEps=1.4527)
Iter 43: .........*(NumConst=43, SV=7, CEps=3.1105, QPEps=1.4967)
Iter 44: .........*(NumConst=44, SV=7, CEps=1.4005, QPEps=0.6818)
Iter 45: .........*(NumConst=45, SV=7, CEps=2.9781, QPEps=0.5845)
Iter 46: .........*(NumConst=46, SV=6, CEps=1.4602, QPEps=0.1009)
Iter 47: .........*(NumConst=47, SV=7, CEps=1.9741, QPEps=0.4143)
Iter 48: .........*(NumConst=48, SV=7, CEps=2.9667, QPEps=0.3859)
Iter 49: .........*(NumConst=49, SV=9, CEps=1.8248, QPEps=0.6484)
Iter 50: .........*(NumConst=50, SV=9, CEps=2.2163, QPEps=0.6608)
Iter 51: .........(NumConst=50, SV=9, CEps=0.8824, QPEps=0.6608)
Final epsilon on KKT-Conditions: 0.88237
Upper bound on duality gap: 0.02684
Dual objective value: dval=20.15584
Primal objective value: pval=20.18268
Total number of constraints in final working set: 50 (of 50)
Number of iterations: 51
Number of calls to 'find_most_violated_constraint': 9180
Number of SV: 9 
Norm of weight vector: |w|=1.19992
Value of slack variable (on working set): xi=647.87826
Value of slack variable (global): xi=648.75896
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=3806.39283
Runtime in cpu-seconds: 0.26
Compacting linear model...done
Writing learned model...done