cross_validation_support_vector_machine.sg

File f_feats = csv_file("../../data/fm_train_real.dat")
File f_labels = csv_file("../../data/label_train_twoclass.dat")

Features feats = features(f_feats)
Labels labs = labels(f_labels)

Machine svm = machine("LibLinear")
svm.put("liblinear_solver_type", enum LIBLINEAR_SOLVER_TYPE.L2R_L2LOSS_SVC)

StratifiedCrossValidationSplitting splitting_strategy(labs, 5)
Evaluation evaluation_criterion = evaluation("AccuracyMeasure")
CrossValidation cross(svm, feats, labs, splitting_strategy, evaluation_criterion)
cross.set_num_runs(2)

EvaluationResult result = cross.evaluate()

real mean = result.get_real("mean")
real stddev = result.get_real("std_dev")