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 
24 # number of support vectors plus 1 
1.2053506 # threshold b, each following line is a SV (starting with alpha*y)
-1.1986176800606472 4:0.263551 7:0.19293299 16:0.38091999 25:0.083618999 26:0.069619998 
-0.38215480586905881 4:0.280312 7:0.184683 13:0.074078001 22:0.014016 25:0.160087 29:0.238508 
-2.5706189896257854 4:0.258297 7:0.056726001 17:0.025830001 19:0.49263999 22:0.025830001 25:0.196685 31:0.038745001 36:0.178712 
-2.8670876614623495 4:0.452425 12:0.031753 22:0.022621 25:0.30144501 31:0.101796 35:0.045242 36:0.039128002 39:0.052524999 
-1.2625524607671743 7:0.33467799 12:0.187171 25:0.036263 31:0.114294 39:0.022115 40:0.065899 
14.721337275452608 4:0.28355601 6:0.074934997 7:0.155683 9:0.047098 10:0.122618 14:0.036649 16:0.040984001 19:0.22533999 22:0.042532999 24:0.019901 25:0.080969997 29:0.040211 31:0.233934 34:0.032919999 36:0.098094001 43:0.022471 47:0.037202001 48:0.043738 
14.721337275452608 4:0.16792201 7:0.061464 22:0.013993 25:0.213113 31:0.041981 34:0.064984001 40:0.048409 
-2.4612674032899307 10:0.43431801 12:0.016021 14:0.029503001 18:0.027135 22:0.045653 25:0.23899899 30:0.059896 31:0.085600004 34:0.132504 36:0.039483 46:0.022295 47:0.029948 
-0.22864008937828664 10:0.210596 22:0.085225999 25:0.092711002 26:0.038594 30:0.25557801 31:0.25567901 36:0.084238 44:0.028270001 47:0.319473 
-3.808372881868701 4:0.30564201 7:0.335619 9:0.25382999 22:0.133718 31:0.171923 36:0.13216799 39:0.044355001 
-2.1296201580752143 6:0.370965 7:0.102761 25:0.044537999 26:0.037080999 27:0.081483997 31:0.175467 34:0.108646 43:0.111243 45:0.099382997 
-1.0921640309397347 4:0.395612 7:0.072402 9:0.054758001 29:0.187007 31:0.296709 49:0.296709 
-1.0849972546939812 4:0.202693 25:0.289397 48:0.46897501 
-0.85578077786554729 4:0.26320499 22:0.021934001 25:0.41754901 36:0.151757 
-2.7170280724467659 4:0.22415701 7:0.022376999 10:0.193864 13:0.026926 14:0.013169 19:0.25910699 27:0.011829 29:0.028898001 31:0.152834 34:0.106461 37:0.025239 46:0.019904001 
-0.28804886107622707 4:0.161898 6:0.427847 25:0.38525099 
-1.4260314109975791 1:0.033128001 3:0.033128001 5:0.046500999 10:0.057303 14:0.042817999 17:0.033128001 18:0.052506998 24:0.139504 31:0.19877 34:0.115382 38:0.049693 47:0.17385501 
-0.76296935564274659 22:0.196821 31:0.354278 
-2.2665412672623155 4:0.42511901 19:0.56306601 25:0.26976299 
-0.70172758381547906 22:0.101862 31:0.22919001 34:0.236517 36:0.088096 
-0.63009792744800919 4:0.72667599 6:0.18003599 7:0.049872 13:0.18003599 20:0.126827 25:0.17292 26:0.035992 29:0.128813 31:0.068126 45:0.048232 
-9.1420570846878491e-007 4:0.252437 22:0.110441 31:0.094664 35:0.063109003 40:0.272903 46:0.12328 
-0.70835914718111992 7:0.25291601 12:0.064661004 25:0.21923301 31:0.069098003 35:0.230326 40:0.079680003 
