[MRG] FIX new doctest examples aren't crossplatform

I try to solve ```Build failed in Jenkins: python-2.7-numpy-1.6.2-scipy-0.10.1 #1692``.

Three errors are given
```

======================================================================
FAIL: Doctest: model_evaluation.rst
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/sp/lib/python/cpython-2.7.2/lib/python2.7/doctest.py", line 2166, in runTest
    raise self.failureException(self.format_failure(new.getvalue()))
AssertionError: Failed doctest test for model_evaluation.rst
  File "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst",> line 0

----------------------------------------------------------------------
File "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst",> line 314, in model_evaluation.rst
Failed example:
    metrics.precision_recall_fscore_support(y_true, y_pred, beta=0.5)
Expected:
    (array([ 0.66666667,  1.        ]), array([ 1. ,  0.5]), array([ 0.71428571,  0.83333333]), array([2, 2], dtype=int64))
Got:
    (array([ 0.66666667,  1.        ]), array([ 1. ,  0.5]), array([ 0.71428571,  0.83333333]), array([2, 2]))
----------------------------------------------------------------------
File "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst",> line 472, in model_evaluation.rst
Failed example:
    metrics.precision_recall_fscore_support(y_true, y_pred, beta=0.5)
Expected:
    (array([ 0.66666667,  0.        ,  0.        ]), array([ 1.,  0.,  0.]), array([ 0.71428571,  0.        ,  0.        ]), array([2, 2, 2], dtype=int64))
Got:
    (array([ 0.66666667,  0.        ,  0.        ]), array([ 1.,  0.,  0.]), array([ 0.71428571,  0.        ,  0.        ]), array([2, 2, 2]))
----------------------------------------------------------------------
File "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst",> line 506, in model_evaluation.rst
Failed example:
    hinge_loss([-1, 1, 1], pred_decision)
Expected:
    0.30303676038544258
Got:
    0.30303676038544253

>>  raise self.failureException(self.format_failure(<StringIO.StringIO instance at 0x41c9320>.getvalue()))
```

I've solved the  floating precision with `# doctest: +ELLIPSIS`. 
However, I haven't succeeded to solve the `dtype=int64` error properly. Any advice is appreciated.