mysvm.model

这个代码是用lib-svm来实现svm分类器的

svm_type nu_svc
kernel_type rbf
gamma 0.25
nr_class 3
total_sv 86
rho 0.0409621 0.115928 0.114175
label 1 2 3
nr_sv 24 32 30
SV
0.03314286884247181 0.06728356346650316 1:4.8 2:3 3:1.4 4:0.1 
0.07197642496067244 0.06728356346650316 1:4.3 2:3 3:1.1 4:0.1 
0.07197642496067244 0.06728356346650316 1:5.8 2:4 3:1.2 4:0.2 
0.07197642496067244 0.06728356346650316 1:5.7 2:4.4 3:1.5 4:0.4 
0.03883355611820064 0.06728356346650316 1:5.4 2:3.9 3:1.3 4:0.4 
0.07197642496067244 0.06728356346650316 1:5.7 2:3.8 3:1.7 4:0.3 
0.07197642496067244 0.06728356346650316 1:5.4 2:3.4 3:1.7 4:0.2 
0 0.06728356346650316 1:4.6 2:3.6 3:1 4:0.2 
0.07197642496067244 0.06728356346650316 1:5.1 2:3.3 3:1.7 4:0.5 
0.07197642496067244 0.06728356346650316 1:4.8 2:3.4 3:1.9 4:0.2 
0.07197642496067244 0.06728356346650316 1:5 2:3 3:1.6 4:0.2 
0.07197642496067244 0 1:4.7 2:3.2 3:1.6 4:0.2 
0.07197642496067244 0 1:4.8 2:3.1 3:1.6 4:0.2 
0.07197642496067244 0 1:5.4 2:3.4 3:1.5 4:0.4 
0.07197642496067244 0.06728356346650316 1:5.2 2:4.1 3:1.5 4:0.1 
0.07197642496067244 0.06728356346650316 1:5.5 2:4.2 3:1.4 4:0.2 
0 0.06728356346650316 1:5.5 2:3.5 3:1.3 4:0.2 
0.07197642496067244 0.06728356346650316 1:4.4 2:3 3:1.3 4:0.2 
0.07197642496067244 0.06728356346650316 1:4.5 2:2.3 3:1.3 4:0.3 
0.07197642496067244 0.06728356346650316 1:4.4 2:3.2 3:1.3 4:0.2 
0.07197642496067244 0 1:5 2:3.5 3:1.6 4:0.6 
0.07197642496067244 0.06728356346650316 1:5.1 2:3.8 3:1.9 4:0.4 
0.07197642496067244 0.06728356346650316 1:4.8 2:3 3:1.4 4:0.3 
0 0.06728356346650316 1:4.6 2:3.2 3:1.4 4:0.2 
-0.07197642496067244 0.2270794148222325 1:5 2:2 3:3.5 4:1 
-0 0.3143855422910394 1:5.9 2:3 3:4.2 4:1.5 
-0.07197642496067244 0 1:6 2:2.2 3:4 4:1 
-0 0.3143855422910394 1:6.1 2:2.9 3:4.7 4:1.4 
-0.07197642496067244 0 1:5.6 2:2.9 3:3.6 4:1.3 
-0.07197642496067244 0.3143855422910394 1:6.7 2:3.1 3:4.4 4:1.4 
-0 0.3143855422910394 1:5.6 2:3 3:4.5 4:1.5 
-0 0.3143855422910394 1:6.2 2:2.2 3:4.5 4:1.5 
-0.07197642496067244 0 1:5.6 2:2.5 3:3.9 4:1.1 
-0.07197642496067244 0.3143855422910394 1:5.9 2:3.2 3:4.8 4:1.8 
-0.03687319994459 0.3143855422910394 1:6.3 2:2.5 3:4.9 4:1.5 
-0 0.3143855422910394 1:6.1 2:2.8 3:4.7 4:1.2 
-0 0.08730612746880688 1:6.4 2:2.9 3:4.3 4:1.3 
-0.05248396231413199 0.3143855422910394 1:6.6 2:3 3:4.4 4:1.4 
-0.07197642496067244 0.3143855422910394 1:6.8 2:2.8 3:4.8 4:1.4 
-0.07197642496067244 0.3143855422910394 1:6.7 2:3 3:5 4:1.7 
-0 0.3143855422910394 1:6 2:2.9 3:4.5 4:1.5 
-0.07197642496067244 0 1:5.7 2:2.6 3:3.5 4:1 
-0.07197642496067244 0 1:5.5 2:2.4 3:3.8 4:1.1 
-0.07197642496067244 0 1:5.5 2:2.4 3:3.7 4:1 
-0.07197642496067244 0 1:5.8 2:2.7 3:3.9 4:1.2 
-0.07197642496067244 0.3143855422910394 1:6 2:2.7 3:5.1 4:1.6 
-0.07197642496067244 0.3143855422910394 1:5.4 2:3 3:4.5 4:1.5 
-0.07197642496067244 0.3143855422910394 1:6 2:3.4 3:4.5 4:1.6 
-0.07197642496067244 0.3143855422910394 1:6.7 2:3.1 3:4.7 4:1.5 
-0 0.3143855422910394 1:6.3 2:2.3 3:4.4 4:1.3 
-0.02510095550246982 0 1:5.6 2:3 3:4.1 4:1.3 
-0.02949473216015307 0 1:5.5 2:2.5 3:4 4:1.3 
-0 0.3143855422910394 1:5.5 2:2.6 3:4.4 4:1.2 
-0 0.3143855422910394 1:6.1 2:3 3:4.6 4:1.4 
-0.07197642496067244 0 1:5 2:2.3 3:3.3 4:1 
-0.07197642496067244 0 1:5.1 2:2.5 3:3 4:1.1 
-0 -0.3143855422910394 1:6.5 2:3.2 3:5.1 4:2 
-0 -0.3143855422910394 1:6.4 2:2.7 3:5.3 4:1.9 
-0.06728356346650316 -0.3143855422910394 1:5.7 2:2.5 3:5 4:2 
-0.06728356346650316 -0.3143855422910394 1:5.8 2:2.8 3:5.1 4:2.4 
-0 -0.2157962359216994 1:6.5 2:3 3:5.5 4:1.8 
-0.06728356346650316 -0 1:7.7 2:3.8 3:6.7 4:2.2 
-0.06728356346650316 -0.08742690111088175 1:7.7 2:2.6 3:6.9 4:2.3 
-0.06728356346650316 -0.3143855422910394 1:6 2:2.2 3:5 4:1.5 
-0.06728356346650316 -0.3143855422910394 1:5.6 2:2.8 3:4.9 4:2 
-0.06728356346650316 -0 1:7.7 2:2.8 3:6.7 4:2 
-0 -0.3143855422910394 1:6.3 2:2.7 3:4.9 4:1.8 
-0.06728356346650316 -0 1:7.2 2:3.2 3:6 4:1.8 
-0.06728356346650316 -0.3143855422910394 1:6.2 2:2.8 3:4.8 4:1.8 
-0.06728356346650316 -0.3143855422910394 1:6.1 2:3 3:4.9 4:1.8 
-0.06728356346650316 -0.01116240525845831 1:7.2 2:3 3:5.8 4:1.6 
-0.06728356346650316 -0 1:7.4 2:2.8 3:6.1 4:1.9 
-0.06728356346650316 -0.3143855422910394 1:7.9 2:3.8 3:6.4 4:2 
-0 -0.3143855422910394 1:6.3 2:2.8 3:5.1 4:1.5 
-0.06728356346650316 -0.3143855422910394 1:6.1 2:2.6 3:5.6 4:1.4 
-0.06728356346650316 -0 1:7.7 2:3 3:6.1 4:2.3 
-0.06728356346650316 -0 1:6.3 2:3.4 3:5.6 4:2.4 
-0 -0.3143855422910394 1:6.4 2:3.1 3:5.5 4:1.8 
-0.06728356346650316 -0.3143855422910394 1:6 2:3 3:4.8 4:1.8 
-0.05876790444375664 -0.3143855422910394 1:6.9 2:3.1 3:5.1 4:2.3 
-0.06728356346650316 -0.3143855422910394 1:5.8 2:2.7 3:5.1 4:1.9 
-0.01179870652052656 -0 1:6.7 2:3.3 3:5.7 4:2.5 
-0 -0.3143855422910394 1:6.3 2:2.5 3:5 4:1.9 
-0 -0.3143855422910394 1:6.5 2:3 3:5.2 4:2 
-0.02611624304920825 -0 1:6.2 2:3.4 3:5.4 4:2.3 
-0.03788427291951485 -0.3143855422910394 1:5.9 2:3 3:5.1 4:1.8