SkLearn
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Confusion Matrix
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To be able to use this function do this:

.. code-block:: python

    from sklearn.metrics import confusion_matrix
    
Then, to use it on the code:

.. code-block:: python

    confusion_matrix(predicted_values,real_values)

Where both parameters are integer valued vectors. This will return an NxN array where N is the number of categories.
    
Classification report
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To be able to use this function do this:

.. code-block:: python

    from sklearn.metrics import classification_report
    
To use in the code:

.. code-block:: python
    
    class_names = ['Class A','Class B',' Class C']
    print(classification_report(real_values, predicted_values, target_names = class_names))