Hi,
I am wondering why the standard deviation of the accuracy estimate is
multiplied by 2 in the example on
http://scikit-learn.org/stable/modules/cross_validation.html; it would be nice
if someone could explain it to me.
The relevant excerpt from the page linked above:
>>> clf = svm.SVC(kernel='linear', C=1)
>>> scores = cross_validation.cross_val_score(
... clf, iris.data, iris.target, cv=5)
...
>>> scores
array([ 0.96..., 1. ..., 0.96..., 0.96..., 1. ])
The mean score and the standard deviation of the score estimate are hence given
by:
>>>
>>> print("Accuracy: %0.2f (+/- %0.2f)" % (scores.mean(), scores.std() * 2))
Accuracy: 0.98 (+/- 0.03)
Best,
Sebastian
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