How to visualise and interpret Kernel Model SVM?
I have seen there is a chart option for LibSVM Kernel Model, but I have difficulties to understand of what use the visualisation has, or how to interpret the model...
I don't know how to use the visualization and therefore I have no idea how to interpret any signs... is the chart model of any use? e.g. can I visualise the decision boundary in some way?
e.g the number of support vectors is given, but how can I relate them to the classes or similar?
can somebody help me in how to interpret that chart?