Support Vector Machine could not fix this problem

i try to using SVM to solve iris classication problem found in matlab dataset, here is what i type:

load irisdataset;
virginincaGroups = ismember(species, 'virginica');
svmStruct = svmtrain(irisInputs, virginicaGroups, 'Kernel_Function', 'rbf', 'boxconstraint', Inf, 'showplot', true)

and the result was

unable to solve this problem due to max iteration

so what is going on???

Answer 1

[Shashank Prasanna]

The iris dataset is 3 classes. The SVMTRAIN function in the Statistics Toolbox can only solve binary classification problems. However, you are free to change the max iteration using the 'options' input. Take a look at the documentation of svmtrain:

http://www.mathworks.com/help/stats/svmtrain.html#namevaluepairarguments

Alternatively, I encourage you to explore other machine learning algorithms that can solve a multi-class classification problem. The following link demonstrates 4 different classifiers:

http://www.mathworks.com/machine-learning/examples.html?file=/products/demos/machine-learning/decision_surface/decision_surface.html