Reading training examples...done
Training set properties: 49 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=1656.8297, QPEps=0.0001)
Iter 3: .........*(NumConst=3, SV=3, CEps=1497.8993, QPEps=0.0003)
Iter 4: .........*(NumConst=4, SV=4, CEps=1456.8922, QPEps=0.0020)
Iter 5: .........*(NumConst=5, SV=4, CEps=996.6847, QPEps=0.0011)
Iter 6: .........*(NumConst=6, SV=5, CEps=630.4500, QPEps=0.0028)
Iter 7: .........*(NumConst=7, SV=6, CEps=410.3493, QPEps=0.0019)
Iter 8: .........*(NumConst=8, SV=6, CEps=300.9916, QPEps=7.4003)
Iter 9: .........*(NumConst=9, SV=6, CEps=283.0038, QPEps=11.8031)
Iter 10: .........*(NumConst=10, SV=7, CEps=175.1239, QPEps=5.9327)
Iter 11: .........*(NumConst=11, SV=5, CEps=133.3887, QPEps=20.7718)
Iter 12: .........*(NumConst=12, SV=6, CEps=180.6513, QPEps=42.9828)
Iter 13: .........*(NumConst=13, SV=10, CEps=106.7885, QPEps=47.1513)
Iter 14: .........*(NumConst=14, SV=7, CEps=161.6416, QPEps=1.8121)
Iter 15: .........*(NumConst=15, SV=7, CEps=87.9847, QPEps=9.8940)
Iter 16: .........*(NumConst=16, SV=8, CEps=69.0457, QPEps=15.2826)
Iter 17: .........*(NumConst=17, SV=7, CEps=79.6682, QPEps=10.0346)
Iter 18: .........*(NumConst=18, SV=7, CEps=46.8724, QPEps=20.8319)
Iter 19: .........*(NumConst=19, SV=7, CEps=54.1254, QPEps=4.7552)
Iter 20: .........*(NumConst=20, SV=7, CEps=35.6948, QPEps=12.4342)
Iter 21: .........*(NumConst=21, SV=6, CEps=51.4600, QPEps=10.1193)
Iter 22: .........*(NumConst=22, SV=6, CEps=41.0587, QPEps=17.0771)
Iter 23: .........*(NumConst=23, SV=7, CEps=20.3434, QPEps=1.5615)
Iter 24: .........*(NumConst=24, SV=6, CEps=26.8569, QPEps=1.6616)
Iter 25: .........*(NumConst=25, SV=7, CEps=25.0692, QPEps=0.1201)
Iter 26: .........*(NumConst=26, SV=6, CEps=17.2294, QPEps=6.6285)
Iter 27: .........*(NumConst=27, SV=8, CEps=18.4096, QPEps=1.7237)
Iter 28: .........*(NumConst=28, SV=8, CEps=17.3870, QPEps=0.9288)
Iter 29: .........*(NumConst=29, SV=8, CEps=24.3729, QPEps=6.0333)
Iter 30: .........*(NumConst=30, SV=8, CEps=13.7964, QPEps=3.3116)
Iter 31: .........*(NumConst=31, SV=8, CEps=14.2341, QPEps=2.8706)
Iter 32: .........*(NumConst=32, SV=8, CEps=10.2181, QPEps=3.9072)
Iter 33: .........*(NumConst=33, SV=7, CEps=11.2402, QPEps=4.3538)
Iter 34: .........*(NumConst=34, SV=9, CEps=6.5428, QPEps=1.1240)
Iter 35: .........*(NumConst=35, SV=7, CEps=7.9530, QPEps=0.3882)
Iter 36: .........*(NumConst=36, SV=7, CEps=7.4606, QPEps=1.4016)
Iter 37: .........*(NumConst=37, SV=8, CEps=4.0797, QPEps=0.0002)
Iter 38: .........*(NumConst=38, SV=6, CEps=8.9961, QPEps=2.0046)
Iter 39: .........*(NumConst=39, SV=7, CEps=5.3187, QPEps=1.9192)
Iter 40: .........*(NumConst=40, SV=7, CEps=4.2681, QPEps=1.0918)
Iter 41: .........*(NumConst=41, SV=7, CEps=10.7342, QPEps=1.5106)
Iter 42: .........*(NumConst=42, SV=5, CEps=3.5548, QPEps=1.6292)
Iter 43: .........*(NumConst=43, SV=7, CEps=2.8368, QPEps=0.6170)
Iter 44: .........*(NumConst=44, SV=5, CEps=3.0561, QPEps=1.0307)
Iter 45: .........*(NumConst=45, SV=6, CEps=2.7048, QPEps=0.3764)
Iter 46: .........*(NumConst=46, SV=6, CEps=1.4989, QPEps=0.0318)
Iter 47: .........*(NumConst=47, SV=7, CEps=2.7572, QPEps=0.0274)
Iter 48: .........*(NumConst=48, SV=7, CEps=2.1052, QPEps=0.0030)
Iter 49: .........*(NumConst=49, SV=7, CEps=1.0064, QPEps=0.0900)
Iter 50: .........*(NumConst=50, SV=7, CEps=1.8174, QPEps=0.2193)
Iter 51: .........*(NumConst=51, SV=9, CEps=0.9684, QPEps=0.4071)
Iter 52: .........*(NumConst=52, SV=6, CEps=1.0392, QPEps=0.2504)
Iter 53: .........(NumConst=52, SV=6, CEps=0.8448, QPEps=0.2504)
Final epsilon on KKT-Conditions: 0.84475
Upper bound on duality gap: 0.00777
Dual objective value: dval=6.00037
Primal objective value: pval=6.00814
Total number of constraints in final working set: 52 (of 52)
Number of iterations: 53
Number of calls to 'find_most_violated_constraint': 9540
Number of SV: 6 
Norm of weight vector: |w|=0.90835
Value of slack variable (on working set): xi=558.96372
Value of slack variable (global): xi=559.55811
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=6973.49013
Runtime in cpu-seconds: 0.37
Compacting linear model...done
Writing learned model...done