def show_results(results, n=10):
    """Show the TOP n results of a classification.
    >>> results = [{'\\alpha': 0.67}, {'\\propto': 0.25}]
    >>> show_results(results)
    """
    import nntoolkit.evaluate
    classification = nntoolkit.evaluate.show_results(results, n)
    return "<pre>" + classification.replace("\n", "<br/>") + "</pre>"
def show_results ( results , n = 10 ) : import nntoolkit . evaluate classification = nntoolkit . evaluate . show_results ( results , n ) return "<pre>" + classification . replace ( "\n" , "<br/>" ) + "</pre>"
Show the TOP n results of a classification.
    >>> results = [{'\\alpha': 0.67}, {'\\propto': 0.25}]
    >>> show_results(results)