def read_iris(percentage):
    dataset = np.loadtxt('iris.data', delimiter=',', skiprows=0)
    np.random.shuffle(dataset)
    q = (int((dataset.shape[0] * percentage)) + 2)
    X_training = dataset[0:q, 0:4]
    Y_training = dataset[0:q, 4]
    X_test = dataset[q:150, 0:4]
    Y_test = dataset[q:150, 4]
    return (X_training, Y_training, X_test, Y_test)
def read_iris(percentage):
    dataset = np.loadtxt('iris.data', delimiter=',', skiprows=0)
    np.random.shuffle(dataset)
    q = (int((dataset.shape[0] * percentage)) + 2)
    X_training = dataset[0:q, 0:4]
    Y_training = dataset[0:q, 4]
    X_test = dataset[q:150, 0:4]
    Y_test = dataset[q:150, 4]
    return (X_training, Y_training, X_test, Y_test)