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 
51 # number of support vectors plus 1 
2.0758251 # threshold b, each following line is a SV (starting with alpha*y)
-9.9999970278294796 22:0.154089 31:0.077044003 46:0.20066901 
-14.721337275452608 1:0.011125 4:0.02225 9:0.018478001 10:0.36561501 12:0.046847001 15:0.043464001 18:0.061714001 27:0.038747001 30:0.087573998 31:0.033374999 34:0.219565 36:0.038486 43:0.105795 46:0.043464001 47:0.204339 
-1.9167648860202231 8:0.146761 12:0.035489 14:0.098031998 15:0.246941 23:0.161098 27:0.029352 34:0.029352 35:0.30339101 
11.279184202893108 10:0.125358 22:0.21742 26:0.057434 34:0.29448599 36:0.37607399 45:0.230896 46:0.141572 47:0.095082998 
14.721337275452608 22:0.063463002 34:0.196476 
14.721337275452608 10:0.112326 22:0.19481701 31:0.048703998 34:0.18847901 48:0.100167 
14.721337275452608 12:0.058123998 22:0.103521 34:0.28844199 
14.721337275452608 22:0.131138 34:0.182696 36:0.090732999 46:0.30740601 
14.721337275452608 22:0.13871901 34:0.161048 36:0.239944 46:0.27098 
-14.721337275452608 10:0.049107999 22:0.198734 26:0.022499001 34:0.296644 36:0.122769 45:0.241202 
14.721337275452608 8:0.089028999 14:0.033038002 22:0.076686002 23:0.054292999 32:0.055238001 34:0.059353001 39:0.118706 
-13.413206535076672 9:0.063729003 27:0.066817001 34:0.022272 40:0.033183999 46:0.41223201 48:0.23673201 
-8.7283757800909001 10:0.172529 12:0.017501 18:0.029642001 27:0.02895 30:0.065430999 31:0.037404001 34:0.217124 35:0.024936 40:0.043132 43:0.15809099 47:0.29444101 
-14.721337275452608 22:0.018873001 27:0.021911001 34:0.26292801 46:0.110601 
-12.126754884934519 22:0.21763401 34:0.126332 36:0.18822201 
14.721337275452608 10:0.062339999 22:0.18621001 26:0.019041 31:0.036040999 34:0.195263 36:0.12468 45:0.20413101 46:0.070404001 47:0.094568998 48:0.037060998 
14.721337275452608 12:0.01358 14:0.062521003 15:0.132292 22:0.116096 23:0.020548999 25:0.07367 27:0.022464 30:0.025386 31:0.14511999 34:0.15724701 36:0.167344 44:0.011232 45:0.020548999 46:0.151191 
14.721337275452608 34:0.178858 
-14.721337275452608 17:0.092450999 22:0.20801499 34:0.26833099 
14.721337275452608 22:0.122404 34:0.142106 35:0.244807 43:0.194005 
-0.96895426358569026 22:0.062697001 34:0.145579 35:0.25078899 43:0.198746 
14.721337275452608 10:0.15642001 22:0.158254 34:0.31496099 36:0.078210004 46:0.35330299 
-14.721337275452608 12:0.051268 22:0.14609499 31:0.109571 34:0.042403001 36:0.063175999 46:0.21404199 
14.721337275452608 22:0.174704 34:0.135217 36:0.20145901 
-14.721337275452608 22:0.195389 34:0.151226 36:0.45062301 
14.721337275452608 8:0.104044 9:0.059540998 10:0.15501399 15:0.035013001 22:0.116504 25:0.034120999 30:0.047031 31:0.026885999 33:0.043083001 34:0.29132199 35:0.107542 47:0.188124 
-14.721337275452608 10:0.043136001 22:0.087283999 34:0.231619 35:0.099753 
-0.30734856017112744 4:0.086948 7:0.095476002 12:0.061023999 16:0.50267899 20:0.121401 26:0.068905003 31:0.065210998 34:0.050471999 35:0.26084501 45:0.27701199 
14.721337275452608 22:0.087743998 34:0.135823 
-14.721337275452608 8:0.042693 22:0.220641 34:0.256156 39:0.085385002 45:0.078106001 
-14.721337275452608 8:0.047812998 17:0.041184001 21:0.041184001 22:0.18532801 34:0.239066 
-14.008957257696068 4:0.067964002 22:0.016991001 27:0.039452001 34:0.25643501 36:0.029389 40:0.029389 46:0.099572003 
-1.1694913497679083 8:0.16592 14:0.092358001 22:0.053594001 23:0.227661 27:0.041480001 33:0.34352401 35:0.21437401 39:0.16592 46:0.069794998 
14.721337275452608 10:0.087595001 22:0.27852699 26:0.026755 34:0.25476801 36:0.37957901 45:0.250974 46:0.065949999 47:0.132881 
14.721337275452608 22:0.141011 34:0.187095 36:0.139376 
-14.721337275452608 22:0.181238 25:0.172509 34:0.15780801 36:0.31349 46:0.088509001 
14.721337275452608 22:0.13128901 34:0.121938 
-14.721337275452608 22:0.122249 34:0.212889 36:0.105728 
-9.371363998974882 14:0.110799 22:0.214314 34:0.149286 36:0.14828099 
14.721337275452608 8:0.067097001 22:0.202281 34:0.20129199 36:0.199936 
-14.721337275452608 10:0.049254 22:0.15661199 26:0.045132 34:0.099174999 36:0.147761 45:0.181439 
-12.222967500500602 14:0.026852001 15:0.040585 21:0.020776 22:0.103879 25:0.039551001 27:0.024119999 34:0.26532 36:0.071873002 
-9.3021956256563527 22:0.191882 34:0.111384 36:0.33190101 
-0.30086764292606816 4:0.071085997 9:0.088554002 23:0.037746001 27:0.041264001 32:0.038403999 34:0.020632001 43:0.056334 46:0.347157 49:0.42651701 
-1.0408991224626574 8:0.31366101 14:0.041081998 15:0.124181 22:0.0079460004 27:0.055351999 28:0.030254001 32:0.20605899 33:0.26740399 35:0.25428 36:0.054979 39:0.073803 43:0.151134 
-2.0736774445724819 10:0.044183999 12:0.035856001 14:0.033015002 15:0.049899001 22:0.31930101 25:0.048627999 30:0.067027003 31:0.076632001 34:0.059312001 36:0.35347199 37:0.063275002 39:0.059312001 
-2.3548379529000192 22:0.101862 31:0.22919001 34:0.236517 36:0.088096 
-0.1005417482365519 6:0.40749201 7:0.06157 9:0.18626399 15:0.027383 22:0.014018 29:0.039756998 31:0.105133 32:0.121167 34:0.21156301 36:0.024247 40:0.072740003 43:0.022218 46:0.109532 
-0.17622722502791893 9:0.015452 10:0.305747 18:0.007373 22:0.013955 30:0.073233999 31:0.097684003 34:0.075604998 40:0.016092001 45:0.01976 46:0.10904 47:0.146468 
-0.023779049178704881 22:0.222155 26:0.023474 36:0.102471 39:0.137554 45:0.22019701 
