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 
9351 # number of training documents 
69 # number of support vectors plus 1 
1.0004358 # threshold b, each following line is a SV (starting with alpha*y)
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-2.8473679569707144e-006 6:0.28230399 9:0.177431 27:0.124019 
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-0.34169939535146338 23:0.136462 36:0.33339599 39:0.37295201 
14.721337275452608 3:0.020163 8:0.011704 9:0.033489998 12:0.056605 14:0.065150999 15:0.019694 22:0.070570998 25:0.019192001 27:0.058520999 31:0.090733998 36:0.017438 39:0.011704 43:0.015978999 44:0.035112999 45:0.042826001 
14.721337275452608 22:0.052189 43:0.165436 
14.721337275452608 22:0.111896 36:0.19354799 43:0.17735 
14.721337275452608 1:0.020857001 12:0.029277001 22:0.114715 23:0.044300001 27:0.14528701 34:0.048429001 36:0.144308 39:0.024214 44:0.024214 
-0.073853828001475996 12:0.087196998 22:0.062121 23:0.131942 27:0.14423899 39:0.072120003 
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-1.2870613101786361 3:0.18245199 
14.721337275452608 22:0.049029998 
14.721337275452608 14:0.037372001 22:0.065058 26:0.022914 36:0.17504901 39:0.318903 45:0.27636001 
14.721337275452608 22:0.12605301 
-6.0367419809590608 39:0.25684699 43:0.350651 
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-0.10641168380404942 1:0.098217003 3:0.14732499 17:0.098217003 22:0.024553999 36:0.084944002 
14.721337275452608 14:0.035990998 22:0.125311 36:0.38533601 45:0.17743701 
-14.721337275452608 22:0.222155 26:0.023474 36:0.102471 39:0.137554 45:0.22019701 
-14.409035451972048 26:0.044305 27:0.032453001 45:0.29686001 
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-14.095184723651631 14:0.124981 22:0.120873 45:0.205384 
14.721337275452608 22:0.107022 26:0.048464 34:0.035498999 36:0.105781 45:0.259783 
-1.4195452366683718 26:0.060362 39:0.30950099 44:0.53057301 
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-1.9090167252080281 8:0.071656004 23:0.131093 27:0.214968 
-12.822139719756761 36:0.205606 43:0.1884 
-4.3429273574429912 22:0.107211 31:0.25730601 36:0.222533 
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-2.5097293922011055 36:0.248285 39:0.166646 43:0.227507 
-4.4524719416112326 14:0.062307999 22:0.048207998 27:0.055968001 39:0.055968001 45:0.102392 
-10.544332480429603 22:0.041271001 36:0.071387999 
-0.50152025641842501 45:0.20580199 
-7.2708660918123975 12:0.150865 27:0.124778 
-1.0584160001864651 1:0.24808 
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-0.17247326897892279 12:0.084141999 22:0.029972 27:0.104389 39:0.31316701 44:0.034796 
-0.19000954214661667 12:0.021473 13:0.040428001 16:0.044220999 20:0.085437998 22:0.038245 27:0.21312299 44:0.035521001 
-7.6616816501051801 22:0.195389 34:0.151226 36:0.45062301 
-0.038197765727961339 1:0.27449799 3:0.13724899 5:0.192653 
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-0.046185757702199681 4:0.26320499 22:0.021934001 25:0.41754901 36:0.151757 
-0.29783777543886808 15:0.288744 44:0.042900998 
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-1.0512321744524897 8:0.050604001 18:0.023029 22:0.087176003 25:0.027659001 27:0.202417 34:0.033736002 43:0.023029 
-2.4588054708739531 9:0.160873 22:0.266352 31:0.072641999 36:0.167532 
-0.35447351684511386 12:0.055234 15:0.230599 25:0.074908003 27:0.137049 35:0.078698002 
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-0.17389083877873901 15:0.34726799 
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-0.1720478202307163 22:0.025018999 44:0.232372 
-0.00053198506932972123 22:0.032200001 44:0.224299 
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-0.01681622794357529 22:0.061244 41:0.25538501 45:0.260162 
-0.24973746176433764 22:0.12949499 27:0.033408999 34:0.100226 36:0.29865301 45:0.122241 
-0.42147333179114277 22:0.13598999 36:0.23522399 43:0.21553899 
-0.11491101109600826 9:0.16551501 12:0.093250997 25:0.18970101 39:0.23138 
-1.3774970694857132 22:0.044043999 27:0.102266 39:0.051132999 
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-0.017175329707374232 9:0.030373 22:0.173719 25:0.034811001 31:0.082287997 34:0.021229999 36:0.22141001 39:0.042459 
-0.037024044211165119 25:0.060311999 27:0.073563002 40:0.054800998 
