svmnormalize libsvm Toolbox svmrocplot

libsvm Toolbox >> libsvm Toolbox > svmpredict

svmpredict

Does prediction for a calculated svm model

Calling Sequence

[predicted_label, accuracy, decision_values] = svmpredict(testing_label_vector, testing_instance_matrix, model)
[predicted_label, accuracy, decision_values] = svmpredict(testing_label_vector, testing_instance_matrix, model, 'libsvm_options')

Parameters

model:

SVM model structure from svmtrain.

libsvm_options:

-b probability_estimates: whether to predict probability estimates, 0 or 1 (default 0); one-class SVM not supported yet

predicted_label:

SVM prediction output vector

accuracy:

a vector with accuracy, mean squared error, squared correlation coefficient.

prob_estimates:

If selected, probability estimate vector

svmnormalize libsvm Toolbox svmrocplot