python
from mvpa2.suite import *
from sklearn.datasets import load_iris
data = load_iris()
ds = Dataset(data.data, data.target)
train_ds = ds[:-30]
test_ds = ds[-30:]
clf = LinearCSVMC()
clf.train(train_ds)
predictions = clf.predict(test_ds)
accuracy = np.mean(predictions == test_ds.targets)
