python
import numpy as np
from mvpa2.suite import *
data = np.random.randint(0, 10, (100, 10))
labels = np.random.randint(0, 2, 100)
dataset = Dataset(data=data, labels=labels)
preproc = ChainNode([PolyDetrendMapper(chunks_attr='chunks'), BoxcarMapper()])
fsel = SensitivityBasedFeatureSelection(OneWayAnova(), fraction=0.1)
clf = LinearCSVMC()
cv = CrossValidation(clf, NFoldPartitioner(), errorfx=lambda p, t: np.mean((p == t).astype(int)))
result = cv(dataset)
print(result)
confusion_matrix = ConfusionMatrix()
confusion_matrix.ca.enable('stats')
result = confusion_matrix(dataset, clf.predict(dataset))
print(result)
