def _percent_match(result, out, yP=None, *argl):
if len(argl) > <NUM_LIT:1>:<EOL><INDENT>if yP is None:<EOL><INDENT>Xt = argl[<NUM_LIT:1>]<EOL>key = id(Xt)<EOL>if key in _splits:<EOL><INDENT>yP = _splits[key][<NUM_LIT:3>]<EOL><DEDENT><DEDENT>if yP is not None:<EOL><INDENT>import math<EOL>out["<STR_LIT:%>"] = round(<NUM_LIT:1.>-sum(abs(yP - result))/float(len(result)), <NUM_LIT:3>)<EOL><DEDENT><DEDENT>
Returns the percent match for the specified prediction call; requires
    that the data was split before using an analyzed method.

    Args:
        out (dict): output dictionary to save the result to.