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 
890 # number of training documents 
28 # number of support vectors plus 1 
1.4171602 # threshold b, each following line is a SV (starting with alpha*y)
-9.1341227595296033 2:0.037436001 4:0.036695998 9:0.029823 12:0.085375004 13:0.038136002 30:0.023207 32:0.056917001 42:0.139241 
-62.491604262120475 13:0.061988 
-62.491604262120475 3:0.058805 41:0.026210001 46:0.039051 
-4.7716811517930182 5:0.017445 6:0.017445 10:0.015961001 11:0.01366 12:0.0093240002 14:0.175322 17:0.012495 19:0.04597 24:0.039085001 25:0.27652001 27:0.131152 29:0.011766 30:0.030414 34:0.101701 39:0.358527 41:0.0068299999 42:0.053224001 43:0.0068299999 45:0.049061999 48:0.014707 49:0.008258 
-20.045790648082548 2:0.041944999 4:0.041115001 9:0.033415001 12:0.031886 25:0.047281001 27:0.149501 29:0.020118 30:0.026001999 34:0.043474 39:0.216364 42:0.052003 
62.491604262120475 1:0.057351001 3:0.056139 13:0.045777 37:0.038633 42:0.027856 
-0.76671245428133261 29:0.024653001 37:0.17675801 
13.018070978377807 1:0.050388001 3:0.049323 11:0.043968 13:0.040219001 14:0.043409999 29:0.037872002 34:0.163679 37:0.033941999 39:0.23759501 42:0.097897001 45:0.118442 48:0.0094680004 
8.6243850977814844 1:0.046445001 3:0.045462999 13:0.037071999 14:0.040013 37:0.031286001 39:0.37543601 
-23.619567219664816 2:0.015882 5:0.022589 6:0.022589 10:0.020667 19:0.019841 25:0.26854199 27:0.113216 29:0.0076179998 30:0.029536 34:0.082305998 38:0.011426 39:0.150197 41:0.017687 42:0.029536 45:0.031764001 48:0.0038089999 
62.491604262120475 1:0.038049001 3:0.037245002 13:0.030370001 25:0.168029 37:0.025630999 39:0.051261 45:0.029812999 
-57.511643660235798 37:0.175074 
62.491604262120475 1:0.048524 3:0.047497999 13:0.038731001 25:0.042856999 37:0.032687001 39:0.13074701 
62.491604262120475 1:0.043097999 3:0.042187002 13:0.034400001 27:0.040119998 34:0.069999002 37:0.029030999 39:0.232251 45:0.067537002 49:0.022733999 
36.783436411060677 1:0.047479 3:0.046475001 13:0.037896998 27:0.088395998 37:0.031982999 39:0.19189499 42:0.023061 
-22.614462288606546 5:0.030601 6:0.030601 10:0.027998 11:0.01198 14:0.118284 15:0.014485 19:0.026879 25:0.048505001 27:0.025562 30:0.026675001 34:0.111498 39:0.53641897 41:0.01198 45:0.043031 48:0.0051600002 49:0.014485 
-33.838462865189328 13:0.056396 
-62.491604262120475 3:0.107072 34:0.044415001 41:0.023862001 45:0.12856001 
62.491604262120475 1:0.030433999 3:0.029790999 12:0.126893 13:0.024292 30:0.014782 32:0.018127 37:0.020501001 42:0.059129 
62.491604262120475 1:0.038274001 3:0.037464999 13:0.030549999 18:0.021575 25:0.067608997 30:0.092951998 37:0.025782 
62.491604262120475 1:0.050561 3:0.049493 13:0.040358 27:0.047067001 34:0.041060001 37:0.034058999 39:0.034058999 45:0.039616 
-0.82774801467550319 32:0.03751 34:0.102284 36:0.043788001 39:0.33937001 41:0.027476 45:0.098686002 48:0.011833 
-1.8654283863095884 2:0.039094999 4:0.038322002 9:0.031145001 12:0.029720001 13:0.079653002 23:0.044069 30:0.048471 42:0.048471 49:0.026319999 
-59.912521806761056 25:0.096831001 30:0.053250998 39:0.25848001 41:0.023916001 
-2.378876929993325 5:0.025062 6:0.025062 8:0.0098120002 10:0.02293 11:0.0098120002 12:0.013396 14:0.096877001 17:0.053853001 19:0.022014 24:0.098265998 25:0.198633 26:0.019375 27:0.083742999 30:0.021847 34:0.25569299 39:0.333289 42:0.043694999 45:0.140972 48:0.0084520001 49:0.011863 
-62.491604262120475 2:0.030153001 4:0.029557001 9:0.024021 12:0.068765 13:0.061434001 30:0.018692 37:0.025923001 42:0.037384 48:0.0072309999 
-8.6136870884593009 14:0.028438 25:0.058309 26:0.028438 27:0.030729 30:0.016032999 35:0.032067001 37:0.066707 38:0.018608 39:0.155651 40:0.034451999 48:0.006203 49:0.017413 
