SVM-light Version V5.00
0 # kernel type
3 # kernel parameter -d 
1 # kernel parameter -g 
1 # kernel parameter -s 
1 # kernel parameter -r 
empty# kernel parameter -u 
50 # highest feature index 
1039 # number of training documents 
32 # number of support vectors plus 1 
1.0973697 # threshold b, each following line is a SV (starting with alpha*y)
-33.580101549124947 2:0.0096239997 3:0.061014 7:0.137281 9:0.022345999 37:0.028872 42:0.022345999 
-86.729587274999417 2:0.0090840003 6:0.0090840003 45:0.21123099 
-7.3016924739525848 2:0.010674 3:0.050756 7:0.050756 30:0.064046003 32:0.021349 41:0.027593 42:0.17349599 45:0.035459001 50:0.029967001 
-32.375205440350541 7:0.066349 39:0.0243 49:0.058761001 
86.729587274999417 32:0.012829 45:0.14915299 49:0.018007001 
86.729587274999417 39:0.022018 45:0.126002 
-86.729587274999417 4:0.011766 6:0.011766 45:0.35178199 
86.729587274999417 6:0.016549001 42:0.26898199 
-46.520530062731495 2:0.020850999 4:0.020850999 6:0.020850999 7:0.033048 42:0.38732001 
86.729587274999417 2:0.013921 30:0.055682998 
-86.729587274999417 2:0.0076850001 4:0.0076850001 6:0.0076850001 45:0.280808 
-5.7596937781670192 2:0.020788001 7:0.065897003 32:0.041577 34:0.20717201 
-18.815859943731539 7:0.029586 34:0.186028 42:0.086685002 
-52.89734520403033 30:0.091237999 41:0.029480999 42:0.158887 
86.729587274999417 3:0.023032 4:0.014532 7:0.16122501 41:0.037563998 42:0.067483 45:0.193093 
86.729587274999417 6:0.0085629998 38:0.017126 42:0.019882999 45:0.199123 
-3.2221569881090488 2:0.0122 7:0.077349 35:0.049869001 
86.729587274999417 6:0.0093759997 9:0.021769 30:0.018750999 31:0.026320999 32:0.018750999 34:0.062290002 39:0.021769 41:0.024235999 42:0.021769 45:0.218016 
-6.5269527556882352 4:0.009265 6:0.01853 31:0.052019998 39:0.043024998 41:0.047899 42:0.064538002 44:0.014685 45:0.092332996 46:0.083384998 
-4.6308255924296446 4:0.029580999 30:0.059161998 31:0.166089 32:0.059161998 42:0.13737001 44:0.046884999 
86.729587274999417 32:0.036155 39:0.041974999 40:0.028651999 45:0.24021 
-15.139804726028331 38:0.022779001 39:0.105783 
-36.961935652428508 32:0.057296 45:0.095167004 
-62.313734224884698 6:0.012525 32:0.025048999 38:0.025048999 45:0.16642299 
-23.164220439633272 4:0.0097329998 8:0.022599 9:0.022599 32:0.038931001 39:0.135593 43:0.022599 44:0.015426 
-8.5805853576686957 3:0.054887 7:0.109775 34:0.076692998 36:0.029839 41:0.059677999 42:0.080408998 44:0.036591999 47:0.036591999 
-14.487969060826885 2:0.018116999 3:0.057427999 4:0.0090579996 7:0.086143002 30:0.05435 36:0.023414999 39:0.021033 40:0.114857 44:0.014357 45:0.090273 
-45.96521884775769 6:0.012162 45:0.16160899 
-9.9305453013911631 4:0.012485 30:0.012485 31:0.035050999 32:0.012485 36:0.048411001 39:0.014495 40:0.019788999 41:0.177507 43:0.014495 44:0.0098940004 45:0.020738 46:0.018727999 49:0.035050999 50:0.035050999 
-1.4005518736989249 4:0.014793 8:0.034347001 9:0.171737 32:0.029585 39:0.103042 40:0.046891 44:0.046891 
-4.073007102364322 2:0.018993 7:0.060205001 38:0.037985001 42:0.13229699 
