from utility import Data, evaluate import svm_models import time if __name__ == "__main__": start_time = time.time() data = Data() data.lda_transform() acc = [] for X_train, X_test, y_train, y_test in data.load(): svm = svm_models.SklearnSVC(X_train, y_train) acc.append(svm.score(X_test, y_test)) end_time = time.time() evaluate(acc) print('total time: %.4fs' % (end_time - start_time))