Hello,
i want to compare a classifier from scikit learn with a another method.
So in generall, with the other method, i'll obtain also an array with
predicted and expected values, but i have no classifier object like:
clf=GaussianNB()
scores = cross_validation.cross_val_score(clf,X,y, cv=10,
scoring='accuracy')
print("Accuracy: %0.2f (+/- %0.2f) [%s]" % (scores.mean(), scores.std(),
name))
I know how to compute the mean, std... and so on..
but the cross_val_score uses a stratified CV, so i can not use
X_train, X_test, y_train, y_test = cross_validation.train_test_split(x, y,
test_size=.1)
So i actually just want to use the same "split", produced from
cross_validation.cross_val_score(clf,X,y, cv=10, scoring='accuracy'), on
the other method, to get some comparable mean and std values.
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