Reading training examples...done
Training set properties: 104 features, 180 rankings, 15506 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=0.986667
Iter 1: .........*(NumConst=1, SV=1, CEps=986.6667, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=718.1067, QPEps=0.0000)
Iter 3: .........*(NumConst=3, SV=2, CEps=1121.2745, QPEps=0.0004)
Iter 4: .........*(NumConst=4, SV=4, CEps=1021.8057, QPEps=0.0007)
Iter 5: .........*(NumConst=5, SV=5, CEps=1148.2535, QPEps=0.0004)
Iter 6: .........*(NumConst=6, SV=5, CEps=574.5045, QPEps=0.0001)
Iter 7: .........*(NumConst=7, SV=6, CEps=391.0020, QPEps=0.0004)
Iter 8: .........*(NumConst=8, SV=6, CEps=388.1495, QPEps=26.3339)
Iter 9: .........*(NumConst=9, SV=6, CEps=237.7767, QPEps=36.6583)
Iter 10: .........*(NumConst=10, SV=6, CEps=170.4565, QPEps=37.0044)
Iter 11: .........*(NumConst=11, SV=9, CEps=183.9684, QPEps=44.4352)
Iter 12: .........*(NumConst=12, SV=7, CEps=269.0064, QPEps=13.4626)
Iter 13: .........*(NumConst=13, SV=8, CEps=163.1862, QPEps=28.3692)
Iter 14: .........*(NumConst=14, SV=8, CEps=155.4743, QPEps=10.5042)
Iter 15: .........*(NumConst=15, SV=7, CEps=127.3271, QPEps=36.5525)
Iter 16: .........*(NumConst=16, SV=7, CEps=144.5000, QPEps=0.0238)
Iter 17: .........*(NumConst=17, SV=7, CEps=91.9516, QPEps=22.8089)
Iter 18: .........*(NumConst=18, SV=7, CEps=155.4498, QPEps=42.7910)
Iter 19: .........*(NumConst=19, SV=6, CEps=58.4211, QPEps=0.5514)
Iter 20: .........*(NumConst=20, SV=8, CEps=72.6435, QPEps=15.9884)
Iter 21: .........*(NumConst=21, SV=6, CEps=59.5381, QPEps=2.0734)
Iter 22: .........*(NumConst=22, SV=8, CEps=52.0142, QPEps=0.0003)
Iter 23: .........*(NumConst=23, SV=7, CEps=49.1502, QPEps=11.7428)
Iter 24: .........*(NumConst=24, SV=7, CEps=29.7558, QPEps=0.5577)
Iter 25: .........*(NumConst=25, SV=8, CEps=38.7361, QPEps=8.9628)
Iter 26: .........*(NumConst=26, SV=7, CEps=52.6424, QPEps=1.9435)
Iter 27: .........*(NumConst=27, SV=8, CEps=25.2717, QPEps=6.1917)
Iter 28: .........*(NumConst=28, SV=6, CEps=21.4128, QPEps=1.7329)
Iter 29: .........*(NumConst=29, SV=6, CEps=24.6716, QPEps=7.5823)
Iter 30: .........*(NumConst=30, SV=7, CEps=14.6278, QPEps=0.0017)
Iter 31: .........*(NumConst=31, SV=7, CEps=18.8322, QPEps=0.0003)
Iter 32: .........*(NumConst=32, SV=7, CEps=11.4660, QPEps=4.0215)
Iter 33: .........*(NumConst=33, SV=7, CEps=12.4085, QPEps=0.0667)
Iter 34: .........*(NumConst=34, SV=7, CEps=13.8289, QPEps=5.4817)
Iter 35: .........*(NumConst=35, SV=7, CEps=8.4666, QPEps=4.0807)
Iter 36: .........*(NumConst=36, SV=7, CEps=11.3234, QPEps=0.8610)
Iter 37: .........*(NumConst=37, SV=8, CEps=6.7890, QPEps=2.7896)
Iter 38: .........*(NumConst=38, SV=8, CEps=8.5277, QPEps=0.3213)
Iter 39: .........*(NumConst=39, SV=7, CEps=7.5237, QPEps=0.4802)
Iter 40: .........*(NumConst=40, SV=8, CEps=3.8569, QPEps=0.3452)
Iter 41: .........*(NumConst=41, SV=8, CEps=6.6871, QPEps=0.0249)
Iter 42: .........*(NumConst=42, SV=7, CEps=4.7015, QPEps=0.1313)
Iter 43: .........*(NumConst=43, SV=6, CEps=3.8592, QPEps=0.6086)
Iter 44: .........*(NumConst=44, SV=8, CEps=3.3725, QPEps=1.5950)
Iter 45: .........*(NumConst=45, SV=7, CEps=4.4129, QPEps=0.0885)
Iter 46: .........*(NumConst=46, SV=6, CEps=1.9230, QPEps=0.2186)
Iter 47: .........*(NumConst=47, SV=6, CEps=3.3877, QPEps=0.3499)
Iter 48: .........*(NumConst=48, SV=6, CEps=2.2973, QPEps=0.7966)
Iter 49: .........*(NumConst=49, SV=7, CEps=1.9691, QPEps=0.9209)
Iter 50: .........*(NumConst=50, SV=8, CEps=1.3893, QPEps=0.0000)
Iter 51: .........*(NumConst=51, SV=7, CEps=1.4891, QPEps=0.6870)
Iter 52: .........*(NumConst=52, SV=6, CEps=2.2027, QPEps=0.1645)
Iter 53: .........(NumConst=52, SV=6, CEps=0.9580, QPEps=0.1645)
Final epsilon on KKT-Conditions: 0.95798
Upper bound on duality gap: 0.00094
Dual objective value: dval=0.53105
Primal objective value: pval=0.53200
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|=0.21221
Value of slack variable (on working set): xi=508.57165
Value of slack variable (global): xi=509.47928
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=12814.18985
Runtime in cpu-seconds: 0.53
Compacting linear model...done
Writing learned model...done